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Learn Keras for Deep Neural Networks

in Keras. What You'll Learn Master fast-paced practical deep learning concepts with math- and programming-friendly;

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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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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 Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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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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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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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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The Deep Learning with Keras Workshop

learning from scratch with Keras, and be on your way to training your first ever neural networks. What sets Keras apart from other deep learning;

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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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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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Deep Learning with Applications Using Python

required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;

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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

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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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 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

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;

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Modern Deep Learning Design and Application Development

studies, this book will ground you in creative, real-world deep learning thinking. YoĆ¼ll begin with a structured guide to using Keras, with;

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Hands-On Deep Learning with Apache Spark

learning with Spark Use popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and Keras Explore popular deep learning algorithms;

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Reinforcement Learning

of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where;

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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

-world projects related to text generation, sentiment analysis, fraud detection, and more Get to grips with R's impressive range of Deep Learning;

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Applied Reinforcement Learning with Python

Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras Deploy and train reinforcement;

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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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Einde inhoud

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