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Introduction to Deep Learning and Neural Networks with PythonT

Introduction to Deep Learning and Neural Networks with PythonT: A Practical Guide is an intensive step-by-step guide for neuroscientists to;

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Deep Learning from Scratch Building with Python from First Principles

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;

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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering;

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Advanced Deep Learning with Python

networks using the Python ecosystem Key Features Get to grips with building faster and more robust deep learning architectures Investigate and;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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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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MATLAB Deep Learning

, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB;

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Introduction to Deep Learning Business Applications for Developers

personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers;

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Deep Learning for Data Analytics

, performance evaluation, Deep Learning optimization, deep auto-encoders, and deep neural networksProvides readers with an introduction to Deep;

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Practical Deep Learning

concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural;

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Hands-On Deep Learning with TensorFlow

scientist who performs machine learning on a regular basis, are familiar with deep neural networks, and now want to gain expertise in working with;

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Hands-On Deep Learning with Go

of libraries and communities for deep learning Get to grips with Neural Networks, their history, and how they work Design and implement Deep Neural;

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Fundamentals Of Deep Learning

-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you're familiar with Python;

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Hands-On Neural Networks

Design and create neural networks with deep learning and artificial intelligence principles using OpenAI Gym, TensorFlow, and Keras Key;

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The Deep Learning with PyTorch Workshop

complexity of neural network architectures. The Deep Learning with PyTorch Workshop starts with an introduction to deep learning and its applications;

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Deep Learning with R for Beginners

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;

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Introduction to Deep Learning for Healthcare

of features from raw data. Deep learning applied to healthcare is a natural and promising direction with many initial successes. The authors cover;

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The Deep Learning Workshop

popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial;

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Deep Learning with Hadoop

the challenges of implementing distributed deep learning with Hadoop and how to overcome it * Implement Convolutional Neural Network (CNN;

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Deep Learning and Artificial Intelligence

Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;

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Deep Learning and Artificial Intelligence

Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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PyTorch Deep Learning Hands-On

to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will;

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Deep Neural Networks and Applications

to main neural networks (MNN). The book throws light on the prospect of artificial intelligence and the applications it has in risk;

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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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Python Deep Learning

second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high;

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