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Francois Chollet Amita Kapoor Suji Deep Learning with T (Paperback) (UK IMPORT)

Description: Further DetailsTitle: Deep Learning with TensorFlow and KerasCondition: NewSubtitle: Build and deploy supervised, unsupervised, deep, and reinforcement learning modelsEAN: 9781803232911ISBN: 9781803232911Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 11/04/2022Description: Build cutting edge machine and deep learning systems for the lab, production, and mobile devices. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learningLearn cutting-edge machine and deep learning techniquesBook Description Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.What you will learnLearn how to use the popular GNNs with TensorFlow to carry out graph mining tasksDiscover the world of transformers, from pretraining to fine-tuning to evaluating themApply self-supervised learning to natural language processing, computer vision, and audio signal processingCombine probabilistic and deep learning models using TensorFlow ProbabilityTrain your models on the cloud and put TF to work in real environmentsBuild machine learning and deep learning systems with TensorFlow 2.x and the Keras APIWho this book is for This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems. Some machine learning knowledge would be useful. We don't assume TF knowledge.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Francois Chollet, Amita Kapoor, Sujit Pal, Antonio GulliGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Francois Chollet Amita Kapoor Suji Deep Learning with T (Paperback) (UK IMPORT)

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Book Title: Deep Learning with TensorFlow and Keras

Title: Deep Learning with TensorFlow and Keras

Subtitle: Build and deploy supervised, unsupervised, deep, and reinforcemen

EAN: 9781803232911

ISBN: 9781803232911

Release Date: 11/04/2022

Release Year: 2022

Country/Region of Manufacture: GB

Item Height: 93mm

Item Length: 75mm

Genre: Computing & Internet

Publisher: Packt Publishing, The Limited

Publication Year: 2022

Subject: Machine Theory, Expert Systems, Computer Simulation, General

Number of Pages: 698 Pages

Language: English

Publication Name: Deep Learning with TensorFlow and Keras : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models

Type: Textbook

Author: Amita Kapoor, Sujit Pal, Antonio Gulli, François Chollet

Subject Area: Computers, Science

Format: Trade Paperback

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