- Basic TensorFlow operations.
- Creating own opetration classes to mimic TensorFlow mechanics.
- Building simple single and multi-layer perceptrons using Numpy arrays and marices.
- Basic convolutional networks using TensorFlow
- Basic recurrent neural networks using TensorFlow
- Google colab Notebooks (based on the "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" course from deeplearning.ai on the fashion MNIST dataset
tirthajyoti/TensorFlow_Basics
Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.
Jupyter NotebookGPL-3.0