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Deep Learning and Physics

, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation;

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Deep Learning and Physics

, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation;

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Deep Learning in Introductory Physics

intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication;

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Deep Learning in Introductory Physics

intellectual conflict, provide valuable insights into student learning and cast a new vision for physics teaching. This book is the first publication;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, yoüll see how these toolboxes provide the;

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Deep Learning for the Life Sciences

Deep learning has already achieved remarkable results in many fields. Now it's making waves throughout the sciences broadly and the life;

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Deep Learning in Computational Mechanics

bar. Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning;

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Deep Learning in Computational Mechanics

bar. Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning;

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Deep Learning in Science

This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and;

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The Deep Learning AI Playbook

Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition;

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R Deep Learning Cookbook

from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or;

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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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Deep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;

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Deep Reinforcement Learning with Python

, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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Learn Keras for Deep Neural Networks

on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;

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Hands-On Deep Learning with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;

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Research and Innovation in Physics Education

teaching and learning of physics in the classroom and laboratory. It features selected contributions from the International Research Group on;

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Research and Innovation in Physics Education

teaching and learning of physics in the classroom and laboratory. It features selected contributions from the International Research Group on;

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Deep Learning with Structured Data

most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data;

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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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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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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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Facilitating Deep Learning

Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior;

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