Artificial Neural Networks with TensorFlow 2 ANN Architecture Machine Learning Projects 1st edition by Poornachandra Sarang 1484261507 9781484261507

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects 1st edition by Poornachandra Sarang – Ebook PDF Instant Download/DeliveryISBN:  1484261507, 9781484261507 

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ISBN-10 :  1484261507 

ISBN-13 :  9781484261507

Author:  Poornachandra Sarang 

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.  What You’ll Learn Develop Machine Learning Applications Translate languages using neural networks Compose images with style transfer 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.

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects 1st Table of contents:

1. TensorFlow Jump Start
2. A Closer Look at TensorFlow
3. Deep Dive in tf.keras
4. Transfer Learning
5. Neural Networks for Regression
6. Estimators
7. Text Generation
8. Language Translation
9. Natural Language Understanding
10. Image Captioning
11. Time Series Forecasting
12. Style Transfer
13. Image Generation
14. Image Translation

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Tags: Artificial, Neural Networks, TensorFlow, ANN Architecture, Learning Projects, Poornachandra Sarang