Deep Learning with TensorFlow JS Projects

Name: Deep Learning with TensorFlow JS Projects
Brand: Wiley
SKU: 9789354642401
Price: 750.0 INR
Availability: InStock

by Umang Sharma

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ISBN13: 9789354642401
Binding: Paperback
Subject: N/A
Publisher: Wiley
Publisher Imprint: Wiley
Publication Date: June 22, 2022
Pages: 268
Original Price: INR 999.0
Language: English
Edition: N/A
Item Weight: 500 grams
BISAC Subject(s): N/A

About The Book

Deep Learning with TensorFlow JS Projects aims to teach Deep Learning application development with ease. This book is designed to teach both JS and Machine Learning expertly. Each chapter starts with a bit of theory on a particular Deep Learning concept and then goes on to build a full-fledged fun Web app using the same. Doing Deep Learning in production is critical for its success, and this book intends to teach that. This book can also be used to build a strong foundation of difficult DL concepts such as CNNs, RNNs, GANs, and much more. ·Getting Started with TensorFlow JS and ML Web Apps ·Creating a Web App to Perform Sentiment Analysis ·Building a Self-Learning Web App to Perform Addition Using RNNs and GRU ·Creating the Web App for Text Generation Using LSTM ·Building Webcam-Based PacMan Game on Your Browser Using MobileNet ·Building Real-Time Pose and Body Parts Detector Using PoseNet ·Getting Invisible and Adding Cool Features to Images Using BodyPix ·Building a Synthetic Images Generator Using GANs ·Building an App to Encode, Decode, and Generate Images Using Variational Autoencoder ·Building a Solution to Pole-Cart Problem Using Reinforcement Learning

About The Author

Umang Sharma is a Senior Data Scientist with years of experience building Deep Learning solutions in multiple areas of Computer Vision, Natural Language Processing, Reinforcement Learning, among others. He has developed some of the cutting-edge AI solutions in multiple industries such as finance, power, retail and currently works for a leading tech product firm, Tom Tom. He was a National Science Academies’ Summer research fellow.

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