Chapter 1: TensorFlowIntroduction What's new in TensorFlow 2
Chapter 2: A Quick Start on TensorFlow Hello World for TensorFlow using Google Colab
Chapter 3: TensorFlow Keras Integration tf.kerasImage Classification
Chapter 4: TensorFlow Hub Transfer Learning TensorFlow Hub and Keras
Chapter 5: Regression Predicting Continuous Value Output
Chapter 6: Estimators Solving Classification Problems Using Estimators
Chapter 7: Distributed Training Describing tf.distribute.Strategy
Chapter 8: Text Text ClassificationGeneration with RNN
Chapter 9: Language Translation The seq2seq model for language translation
Chapter 10: Language Understanding Using Transformer Model
Chapter 11: Image Captioning Attention-based model for captioning images
Chapter 12: Time Series Forecasting Using RNNsForecasting a univariate/multivariate time series
Chapter 13: Style Transfer Composing an image in the style of another image
Chapter 14: Image Generation using GAN Introduction to GANGenerating images using a DCGAN
Chapter 15: Image Translation Colorizing B&W images
