Book Image

Machine Learning with TensorFlow 1.x

By : Quan Hua, Saif Ahmed, Shams Ul Azeem
Book Image

Machine Learning with TensorFlow 1.x

By: Quan Hua, Saif Ahmed, Shams Ul Azeem

Overview of this book

Google's TensorFlow is a game changer in the world of machine learning. It has made machine learning faster, simpler, and more accessible than ever before. This book will teach you how to easily get started with machine learning using the power of Python and TensorFlow 1.x. Firstly, you’ll cover the basic installation procedure and explore the capabilities of TensorFlow 1.x. This is followed by training and running the first classifier, and coverage of the unique features of the library including data ?ow graphs, training, and the visualization of performance with TensorBoard—all within an example-rich context using problems from multiple industries. You’ll be able to further explore text and image analysis, and be introduced to CNN models and their setup in TensorFlow 1.x. Next, you’ll implement a complete real-life production system from training to serving a deep learning model. As you advance you’ll learn about Amazon Web Services (AWS) and create a deep neural network to solve a video action recognition problem. Lastly, you’ll convert the Caffe model to TensorFlow and be introduced to the high-level TensorFlow library, TensorFlow-Slim. By the end of this book, you will be geared up to take on any challenges of implementing TensorFlow 1.x in your machine learning environment.
Table of Contents (13 chapters)
Free Chapter
1
Getting Started with TensorFlow

Practical considerations for the individual

Suppose you trained a nifty classifier and also showed good results over a blind or live set, now should you start trading? While it is possible, it isn't so easy. The following are some reasons why:

  • Historical analyses versus streaming data: This historical data is often cleansed and near perfect, but streaming data does not offer such benefits. You will need code to evaluate the stream of data and throw out potentially unreliable data.
  • Bid-ask spread: This is the biggest surprise novice's face. There are actually two prices in the marketplace: the price at which you can buy and the one at which you can sell. You don't both buy and sell at the typical market price you see (that is just the last meeting point on the two, called the last price). Buying a holding and immediately selling it loses money because of this gap...