π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
Simple Methods for Hyperparameter TuningMΔ±sra Turp2022-12-02 | In this video, we learn how to tune hyperparameters of the network with some simple methods like grid search and random search.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsBonus lesson: Turning a Regression Problem into a Classification ProblemMΔ±sra Turp2024-05-21 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsIs your model actually that good? Validating Machine Learning ModelsMΔ±sra Turp2024-05-15 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsImprove Machine Learning Model Performance with TuningMΔ±sra Turp2024-05-14 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsStep-by-Step Preparing and Training a Machine Learning ModelMΔ±sra Turp2024-05-13 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsFeature Engineering: Integrate a new data source into your datasetMΔ±sra Turp2024-05-07 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsFeature Engineering: Create new features using existing dataMΔ±sra Turp2024-05-07 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsHow to Train a Benchmark Model for your Machine Learning ProjectMΔ±sra Turp2024-05-02 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsProblem Definition and Data Preparation for a Real-Life Data Science ProjectMΔ±sra Turp2024-04-17 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsExtract Hour, Day, Month Info from Pandas DateTimeMΔ±sra Turp2024-04-17 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
Sometimes, only the raw datetime of an event might not be enough for the ML algorithm to understand your usecase. In those scenarios, it is a good idea to give the ML model more information to work with. This could be the week of day, whether a day is a holiday or not or simply the time of the day. Let's see how to add this information to our dataframe.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsFixing Incorrect Column Types in Pandas to Prepare Data for MLMΔ±sra Turp2024-04-17 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
Sometimes, due to problems with data collection or during data importing the types if our Pandas DataFrame column can be read incorrectly. In this video, let's see how to correct this issue by updating all columns to the correct type.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsData Cleaning after Identifying Data Problems in PandasMΔ±sra Turp2024-04-17 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
00:00 Shallow copy vs Deep Copy 04:13 Correcting data typesData Exploration: Identifying Data Issues and Their Potential CausesMΔ±sra Turp2024-04-11 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
00:00 Looking into negative values 02:30 Values that are too highUsing Data Visualization to Identify Data ProblemsMΔ±sra Turp2024-04-11 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
00:00 Introduction to the new notebook 02:30 Data visualizationHow Collecting Data Works on a Real-Life Data Science ProjectMΔ±sra Turp2024-04-08 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsCreating a GitHub Repository for a Data Science ProjectMΔ±sra Turp2024-04-08 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
00:00 Starting a GitHub Repo 05:14 Connecting your project to GitHubIntroduction to Jupyter Notebooks: explore the main functionalitiesMΔ±sra Turp2024-04-08 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsHow to Set up a Data Science Development EnvironmentMΔ±sra Turp2024-04-08 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
00:00 Git 01:36 Anaconda 04:47 Jupyter NotebooksHands-on Data Science course: Lets build a project together from scratch!MΔ±sra Turp2024-04-08 | Hello friends,
This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works. It has been a paid course since it was published but now I believe it is time for it to be publicly accessible.
If you have any questions, feel free to leave comments. I will try to answer them as much as I can, but look through the comments and help others as much as you can! Let's make this a safe learning environment.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsKey Concepts and Techniques for Natural Language ProcessingMΔ±sra Turp2023-04-12 | NLP or Natural Language Processing is a popular subfield of AI. If you'd like to get into NLP or work in that field, here are some topics you want to make sure you cover.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsHow are training and tuning different?MΔ±sra Turp2023-03-31 | To prepare a machine learning model you have to go through (on a high level) two processes: training and tuning. The difference between these two processes can be explained by what kind of effect they have on the model itself.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsPython vs. R comparison (by a die-hard Python fan)MΔ±sra Turp2023-03-27 | Which programming language is better for machine learning; Python or R? I don't think there is a black and white sort of answer to this questions. Depending on what you want to do, which programming language you should use will change. At the end of the day, these languages are tools.
I, personally, use Python most, if not all, of the time. I dabbled with R at some point during college but cannot say I'm an expert on it. Don't get in the Python or R hating bandwagon though. As tempting as it might be. You might need them one day!
Judging by the resources online and what both language's strengths are, here is a quick comparison for you.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsData Visualization Libraries For PythonMΔ±sra Turp2023-03-06 | Data visualization is an important part of most data science projects. Do you know what options you have when it comes to displaying your data? Here are 5 commonly used and loved data visualization libraries for Python.
Which one is your favorite? I heard a lot about Bokeh!
π NNs hyperparameters cheat sheet (FREE) misraturp.com/nn-hyperparameters-cheat-sheetWhy do we split data into train test and validation sets?MΔ±sra Turp2023-02-22 | To train machine learning models we need to provide the model with a training and testing set. And sometimes even a validation set. These terms tend to be used interchangeably causing confusion. So once and for all, let's learn what each of these data splits do and how they contribute to model development.
π NNs hyperparameters cheat sheet (FREE) misraturp.com/nn-hyperparameters-cheat-sheetHow to fix missing values in your dataMΔ±sra Turp2023-02-19 | Previously we've seen how to find missing values in your data. But once you find them what can you do to fix this problem? Should you remove the missing values? Fill them in? Ignore them?
In this quick video, we learn the best approaches to deal with missing values.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsWhat is one-hot encoding?MΔ±sra Turp2023-02-10 | What is one-hot encoding? It is a way to feed categorical data to Machine Learning models.
Why do we use one-hot encoding? Because Machine Learning models cannot handle categorical data in its raw form.
π NNs hyperparameters cheat sheet (FREE) misraturp.com/nn-hyperparameters-cheat-sheetQuick explanation: One-hot encodingMΔ±sra Turp2023-02-10 | What is one-hot encoding? It is a way to feed categorical data to Machine Learning models.
Why do we use one-hot encoding? Because Machine Learning models cannot handle categorical data in its raw form.
π NNs hyperparameters cheat sheet (FREE) misraturp.gumroad.com/l/hcsHow to Implement CNNs in KerasMΔ±sra Turp2022-12-08 | In this video, we learn how to tune hyperparameters of the network with advanced methods like Bayesian search, gradient-based search, and evolutionary computing.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpCNN follow along calculationsMΔ±sra Turp2022-12-08 | You won't ever have to calculate the number of layers in a CNN but it is a good idea to be aware of how the CNN calculations are made.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpBasics of Convolutional Neural NetworksMΔ±sra Turp2022-12-08 | Let's learn about CNNs, what they look like and how they learn.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpBasics of Recurrent Neural NetworksMΔ±sra Turp2022-12-07 | Let's learn about RNNs, what they look like and how they learn.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpLSTMs and GRUsMΔ±sra Turp2022-12-07 | In this video, we learn about the more complex RNN cell types such as LSTMs and GRUs.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpTraining a Network for Better PerformanceMΔ±sra Turp2022-12-06 | In this video, we further train the neural network to achieve better performance/
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpHow to Tune a Neural NetworkMΔ±sra Turp2022-12-05 | In this video, we learn how to tune a neural network's hyperparameters to help it perform better.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpHow to Understand Whats Wrong with a Neural NetworkMΔ±sra Turp2022-12-04 | In this video, we learn what to look into to understand what is wrong with a model and what options we have to make it better.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpAdvanced Methods for Hyperparameter TuningMΔ±sra Turp2022-12-03 | In this video, we learn how to tune hyperparameters of the network with advanced methods like Bayesian search, gradient-based search, and evolutionary computing.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpTuning a Neural Network | Deciding on next steps to takeMΔ±sra Turp2022-12-01 | In this video, let's learn what options are available to us in order to make this Neural Network perform better and how to decide on which action to take.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpWhat is the Optimal Performance of a Neural Network?MΔ±sra Turp2022-11-30 | We can now build, train and test Neural Networks but what is the best way to evaluate whether a Network is doing well or not. Let's learn, how to find out what the best possible performance is for a Neural Network before starting to tune it to achieve best results.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpHow to Decide Whether Your Neural Network is Doing WellMΔ±sra Turp2022-11-29 | We can now build, train and test Neural Networks but what is the best way to evaluate whether a Network is doing well or not. In this video, let's learn about different type of performances and how to decide which one to aim for when you're training your neural network.
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpHow to Evaluate a Neural Networks PerformanceMΔ±sra Turp2022-11-28 | We can now build, train and test Neural Networks but what is the best way to evaluate whether a Network is doing well or not. Let's learn!
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
π Website - misraturp.com π₯ Twitter - twitter.com/misraturpPart 4: Tuning the Neural Network for Better PerformanceMΔ±sra Turp2022-11-24 | Now that we learned about all the issues that can arise when building Neural Networks and how to deal with them, we will look into how to put all this knowledge into practical use. In this exercise, we will try out some options to increase the performance of the model
π Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here π misraturp.gumroad.com/l/fdl
βTo get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
π You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3