Uploaded October 2022 | Updated September 2026, 55 minutes ago
Let's start with implementing your first neural network using Python and Keras on a Jupyter Notebook. In this first section, we will set up the requisites and the environment in which we can start building our network.
Previous lesson: youtu.be/nH9bWLJI_7A
Next lesson: youtu.be/LInJL0mI37g
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» All course code is in the course repository: github.com/misraturp/Deep-learning-course-repo
Commands to follow:
pip install virtualenv
virtualenv venv
source venv/bin/activate
which python
python -m pip install jupyter
python -m ipykernel install --user --name=venv
pip install tensorflow
jupyter notebook
For Mac M1 chip check out these guides:
caffeinedev.medium.com/how-to-install-tensorflow-on-m1-mac-8e9b91d93706
developer.apple.com/metal/tensorflow-plugin
To deactivate the virtual environment:
deactivate
Alternative development environment:
If your computer is not able to train the neural networks we build in our exercises, try Google Colab (colab.research.google.com/).
This is a free service by Google where they give you access to some computational power and a Jupyter notebook interface.
All you need is a Google account and then you'll be good to go!
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
Let's start with implementing your first neural network using Python and Keras on a Jupyter Notebook. In this first section, we will set up the requisites and the environment in which we can start building our network.
Previous lesson: youtu.be/nH9bWLJI_7A
Next lesson: youtu.be/LInJL0mI37g
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» All course code is in the course repository: github.com/misraturp/Deep-learning-course-repo
Commands to follow:
pip install virtualenv
virtualenv venv
source venv/bin/activate
which python
python -m pip install jupyter
python -m ipykernel install --user --name=venv
pip install tensorflow
jupyter notebook
For Mac M1 chip check out these guides:
caffeinedev.medium.com/how-to-install-tensorflow-on-m1-mac-8e9b91d93706
developer.apple.com/metal/tensorflow-plugin
To deactivate the virtual environment:
deactivate
Alternative development environment:
If your computer is not able to train the neural networks we build in our exercises, try Google Colab (colab.research.google.com/).
This is a free service by Google where they give you access to some computational power and a Jupyter notebook interface.
All you need is a Google account and then you'll be good to go!
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
