Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python

Yalçin

ISBN 10: 1484276949 / ISBN 13: 9781484276945

Published by Springer India, 2022

About this Item

New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-411809

Bibliographic Details

Title: Applied Neural Networks with TensorFlow 2: ...

Publisher: Springer India

Publication Date: 2022

Binding: Soft cover

Condition: Brand New

Edition: International Edition

About this title

Synopsis:

Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations. You’ll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies used to create deep learning models. While some of these technologies are complementary, such as Pandas, Scikit-Learn, and Numpy―others are competitors, such as PyTorch, Caffe, and Theano. This book clarifies the positions of deep learning and Tensorflow among their peers. You'll then work on supervised deep learning models to gain applied experience with the technology. A single-layer of multiple perceptrons will be used to build a shallow neural network before turning it into a deep neural network. After showing the structure of the ANNs, a real-life application will be created with Tensorflow 2.0 Keras API. Next, you’ll work on data augmentation and batch normalization methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained models will be loaded to create already advanced CNNs.Finally, move into theoretical applications and unsupervised learning with auto-encoders and reinforcement learning with tf-agent models. With this book, you’ll delve into applied deep learning practical functions and build a wealth of knowledge about how to use TensorFlow effectively.What You'll Learn Who This Book Is ForData scientists and programmers new to the fields of deep learning and machine learning APIs.