TensorFlow 2 Series

In this series, we cover major topics in deep learning coding with TensorFlow 2 — for computer vision, NLP, and generative models. In the end, we go through coding examples categorized by each type of application.

TensorFlow & Keras

TensorFlow Custom training, Transfer learning & Custom layers

TensorFlow Eager Execution v.s. Graph (@tf.function)

TensorFlow Dataset & Data Preparation

TensorFlow Keras Preprocessing Layers & Dataset Performance

TensorFlow Save & Restore Model

TensorFlow RNN models

TensorFlow Automatic Differentiation (AutoDiff)

TensorFlow Libraries and Extensions

TensorFlow Computer Vision & Deep Learning Examples

TensorFlow NLP Classification Examples

TensorFlow Sequence to Sequence Model Examples

TensorFlow BERT & Transformer Examples

TensorFlow Generative Model Examples