Apress | Artificial Neural Networks With TensorFlow 2: ANN Architecture Machine Learning Projects (2021 EN)

Author: Poornachandra Sarang
Full Title: Artificial Neural Networks With TensorFlow 2: ANN Architecture Machine Learning Projects
Publisher: Apress; 1st ed. edition (February 5, 2021)
Year: 2021
ISBN-13: 9781484261507 (978-1-4842-6150-7), 9781484261491 (978-1-4842-6149-1)
ISBN-10: 148426150X, 1484261496
Pages: 726
Language: English
Genre: Educational: Machine Learning
File type: EPUB (True), PDF (True), Code Files
Quality: 10/10
Price: 48.14 €


Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.

After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis.

This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are.


Learn:
✓ Develop Machine Learning Applications
✓ Translate languages using neural networks
✓ Compose images with style transfer

Features:
✓ Tackle advanced neural network projects with TensorFlow
✓ Hone a working knowledge of ANN architectures
✓ Progress from deep learning beginner to experienced DL developer

Who This Book Is For:
Beginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.

-------------
Our members see more. Join us!