Uploaded October 2022 | Updated September 2026, 2 hours ago
Neural Networks have a lot of knobs and buttons you have to set correctly to get the best possible performance out of it. Although some of them are self-explanatory and easy to understand (like the number of neurons in the input layer) and choose, there are many hyperparameters that are a bit more complex in terms of how they affect the outcome of the model (e.g. number of layers, the batch size or weight initialization).
In this hands-on tutorial, we will learn how to change the values for the hyperparameteres we learned about in the previous lessons in implementation. Specifically in Python and Keras.
Previous lesson: youtu.be/4GGHaBpTV9w
Next lesson: youtu.be/h095wobw9xE
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
π©βπ» You can get access to all the code I develop in this course here: github.com/misraturp/Deep-learning-course-repo
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
RESOURCES:
πββοΈ Data Science Kick-starter mini-course: misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
π Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl
π Website - misraturp.com
π₯ Twitter - twitter.com/misraturp
Neural Networks have a lot of knobs and buttons you have to set correctly to get the best possible performance out of it. Although some of them are self-explanatory and easy to understand (like the number of neurons in the input layer) and choose, there are many hyperparameters that are a bit more complex in terms of how they affect the outcome of the model (e.g. number of layers, the batch size or weight initialization).
In this hands-on tutorial, we will learn how to change the values for the hyperparameteres we learned about in the previous lessons in implementation. Specifically in Python and Keras.
Previous lesson: youtu.be/4GGHaBpTV9w
Next lesson: youtu.be/h095wobw9xE
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
π©βπ» You can get access to all the code I develop in this course here: github.com/misraturp/Deep-learning-course-repo
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
RESOURCES:
πββοΈ Data Science Kick-starter mini-course: misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
π Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl
π Website - misraturp.com
π₯ Twitter - twitter.com/misraturp
