Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications

Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applicationsKey Features- Focus on neural network and its essential operations- Prepare data for a deep learning model and deploy it as an interactive web application, with Flask and a HTTP API- Use Keras, a TensorFlow abstraction libraryBook DescriptionWith this book, you’ll learn how to train, evaluate and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction, you’ll use a sample model to explore the details of deep learning, selecting the right layers that can solve a given problem. By the end of the course, you’ll build a Bitcoin application that predicts the future price, based on historic, and freely available information.This book will also provide you with a blueprint for how to build an application that generates predictions using a deep learning model. From there, you can continue to improve our example model- either by adding more data, computing more features, or changing its architecture-continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.What you will learn- Set up a deep learning programming environment – Explore the common components of a neural network and its essential operations- Prepare data for a deep learning model- Deploy model as an interactive web application, with Flask and a HTTP API- Use Keras, a TensorFlow abstraction library – Explore the types of problems addressed by neural networksWho this book is forThis course is ideal for experienced developers, analysts, or a data scientists, who want to develop applications using TensorFlow and Keras. This rapid hands-on course quickly shows you how to get to grips with TensorFlow in the context of real-world application development. We assume that you are familiar with Python and have a basic knowledge of web application development. If you have a background in linear algebra, probability, and statistics, you will easily grasp concepts that are discussed in the course.