Chapter 1, Building Deep Learning Environments, in this chapter we will establish a common workspace for our projects with core technologies such as Ubuntu, Anaconda, Python, TensorFlow, Keras, and Google Cloud Platform (GCP).
Chapter 2, Training a Neural Net for Prediction Using Regression, in this chapter we will build a 2 layer (minimally deep) neural network in TensorFlow and train it on the classic MNIST dataset of handwritten digits for a restaurant patron text notification business use case.
Chapter 3, Word Representations Using word2vec, in this chapter we will learn and use word2vec to transform words into dense vectors (that is, tensors) creating embedding representations for a corpus, then create a convolutional ...
