Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning (pdf)

Description

TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

• Learn TensorFlow fundamentals, including how to perform basic computation
• Build simple learning systems to understand their mathematical foundations
• Dive into fully connected deep networks used in thousands of applications
• Turn prototypes into high-quality models with hyperparameter optimization
• Process images with convolutional neural networks
• Handle natural language datasets with recurrent neural networks
• Use reinforcement learning to solve games such as tic-tac-toe
• Train deep networks with hardware including GPUs and tensor processing units