Deep Learning with TensorFlow 2 and Keras

Tutorial for developing Deep Learning models in TensorFlow using the tf.keras API.

Table of Contents

0. TFRecords

   • Keras with TFRecords

   • Export TFRecords from Earth Engine

1. Multilayer Perceptrons (MLPs)

   • Regression

   • Classification

   • Exercise_1

   • Solutions_1

   • Exercise_2

   • Solutions_2

2. Convolutional Neural Networks (CNNs)

   • Image Classification

   • Regression

   • Image Segmentation

3. Recurrent Neural Networks (RNNs)

4. Autoencoders

5. Generative Adversarial Networks (GANs)

6. Natural Language Processing (NLP)