Grokking Deep Learning (Trask Andrew)(Paperback)

Grokking Deep Learning (Trask Andrew)(Paperback)

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book

Deep Learning: A Visual Approach (Glassner Andrew)(Paperback)

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at

Grokking Deep Reinforcement Learning (Morales Miguel)(Paperback / softback)

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn

Deep Learning for Dummies (Mueller John Paul)(Paperback)

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic--and all of the underlying technologies

Deep Learning: Methods and Applications (Deng Li)(Paperback)

Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2)

Deep Learning with R (Chollet Francois)(Paperback)

Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF,

Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability (Duerr Oliver)(Paperback)

Probabilistic Deep Learning shows how probabilistic deep learning models gives readers the tools to identify and account for uncertainty and potential errors in their results. Starting by applying the underlying maximum likelihood principle of curve fitting to deep learning, readers will move on to

Deep Learning and the Game of Go (Max Pumperla)(Paperback)

Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword

Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Graesser Laura)(Paperback)

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has

Deep Learning for Search (Teofili Tommaso)(Paperback)

Summary Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as

Practical Deep Learning: A Python-Based Introduction (Kneusel Ron)(Paperback)

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you've been curious about machine learning but didn't know where to start, this is the book you've been waiting for. Focusing on the subfield of machine

Learning Tensorflow: A Guide to Building Deep Learning Systems (Hope Tom)(Paperback)

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks

Deep Learning: Engage the World Change the World (Fullan Michael)(Paperback)

Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep

Learning Practical Tibetan (Bloomfield Andrew)(Paperback)

Whether you are looking for a room, visiting a monastery, or bargaining for a bus seat, Learning Practical Tibetan will make immediate communication with Tibetans easy and fun. This book is designed for anyone wishing to communicate with Tibetans, either in Asia or in the West, and is suitable for

Pytorch Pocket Reference: Building and Deploying Deep Learning Models (Papa Joe)(Paperback)

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the time you spend searching for

Grokking Simplicity: Taming Complex Software with Functional Thinking (Normand Eric)(Paperback)

Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Summary Distributed across servers, difficult to test, and resistant to modification--modern software is complex. Grokking Simplicity is a friendly, practical guide that will

Dive Into Deep Learning: Tools for Engagement (Quinn Joanne)(Paperback)

Create learning experiences that transform not only learning, but life itself. Learn about, improve, and expand your world of learning. This hands-on companion to the runaway best-seller, Deep Learning Engage the World Change the World, provides an essential roadmap for building capacity in

Deep Learning: A Practitioner's Approach (Patterson Josh)(Paperback)

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides the most practical

Deep Learning (Goodfellow Ian)(Pevná vazba)

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.'Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.'--Elon Musk,

Learning Agile: Understanding Scrum, Xp, Lean, and Kanban (Stellman Andrew)(Paperback)

Learning Agile is a comprehensive guide to the most popular agile methods, written in a light and engaging style that makes it easy for you to learn. Agile has revolutionized the way teams approach software development, but with dozens of agile methodologies to choose from, the decision to go agile

Deep learning v jazyku Python / 2. vydán - François Chollet

Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů

Learn Pyspark: Build Python-Based Machine Learning and Deep Learning Models (Singh Pramod)(Paperback)

Learn PySparkChapter 1: Introduction to PySparkChapter 2: Data ProcessingChapter 3: Spark Structured StreamingChapter 4: AirflowChapter 5: Machine Learning Library (MLlib)Chapter 6: Supervised Machine LearningChapter 7: Unsupervised Machine LearningChapter 8: Deep Learning Using PySpark

Vocabulary Ninja Workbook for Ages 7-8 - Vocabulary activities to support catch-up and home learning (Jennings Andrew)(Paperback / softback)

Vocabulary Ninja Workbook for Ages 6-7 - Vocabulary activities to support catch-up and home learning (Jennings Andrew)(Paperback / softback)