Setting up the Prerequisites to Build your First Neural Network

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:    • Backward Propagation in Neural Networ...  
Next lesson:    • Importing and Preparing a Dataset for...  

📙 Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here 👉 https://misraturp.gumroad.com/l/fdl

👩‍💻 All course code is in the course repository: https://github.com/misraturp/Deep-lea...

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:
  / how-to-install-tensorflow-on-m1-mac  
https://developer.apple.com/metal/ten...

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:
🏃‍♀️ Data Science Kick-starter mini-course: https://www.misraturp.com/courses/dat...
🐼 Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs
📥 Streamlit template (updated in 2023, now for $5): https://misraturp.gumroad.com/l/stemp
📝 NNs hyperparameters cheat sheet: https://www.misraturp.com/nn-hyperpar...
📙 Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl

COURSES:
👩‍💻 Hands-on Data Science: Complete your first portfolio project: https://www.misraturp.com/hods

🌎 Website - https://misraturp.com/
🐥 Twitter -   / misraturp