This repository provides cheat sheets for building neural networks using TensorFlow/Keras.
See the article on Towards Data Science.
The cheat sheet provides the data about following topics:
- Typical Neural Network Architectures with Sequential API;
- More Complex Neural Network Architectures with Functional API;
- Compile the model;
- Train the model;
- Explore learning curves;
- Evaluate the model;
- Save and load the model.
And also about:
- Using ImageDataGenerator;
- Tokenizing and padding sentences for NLP tasks.
tf_cheat_sheet.ipynb
contains a cheat sheet in a Jupyter notebooktf_cheat_sheet.py
contains cheat sheet in a Python scriptspecial_variable_example.ipynb
file contains an example of using a special_
variable in Jupyter Notebook / Google Colab notebooks