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The Deep Learning Workshop

Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;

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The Deep Learning with Keras Workshop

other deep learning framework. The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine;

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Deep Learning with Python

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly;

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Learn Keras for Deep Neural Networks

-cases implemented in Keras. The overall book comprises three sections with two chapters in each section. The first section prepares you;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Deep Learning with Python

reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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Deep Learning with Keras

Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book * Implement various deep;

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Advanced Deep Learning for Engineers and Scientists

applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for;

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Advanced Deep Learning with Keras

that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep;

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Beginning Anomaly Detection Using Python-Based Deep Learning

deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications;

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Step by Step Tutorials on Deep Learning Using Scikit-Learn, Keras, and Tensorflow with Python GUI

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Deep Learning mit Python und Keras

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Deep Learning with Applications Using Python

Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms;

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Deep Learning mit TensorFlow, Keras und TensorFlow.js

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Advanced Applied Deep Learning

Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the;

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Advanced Deep Learning with R

Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using;

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Hands-On Deep Learning for Images with TensorFlow

all the concepts of deep learning and their implementation with TensorFlow and Keras. What you will learn Build machine learning models;

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R Deep Learning Essentials

techniques for finding the best hyperparameters for deep learning models Create NLP models using Keras and TensorFlow in R Use deep learning for;

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Artificial Intelligence, Machine Learning, and Deep Learning

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;

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Hands-On Deep Learning with Apache Spark

layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts;

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Modern Deep Learning Design and Application Development

design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and;

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Reinforcement Learning

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve;

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Deep Learning Quick Reference

for training and fine-tuning your models in Keras and Tensorflow. Book DescriptionDeep learning has become an essential necessity to enter the;

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R Deep Learning Projects

5 real-world projects to help you master deep learning concepts Key Features Master the different deep learning paradigms and build real;

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Python Deep Learning

. What You Will Learn * Get a practical deep dive into deep learning algorithms * Explore deep learning further with Theano, Caffe, Keras;

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Applied Reinforcement Learning with Python

Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;

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