Grokking Deep Learning

Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly illustrated guide including exercises and examplesGrokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises—including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization. about the technologyArtificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI.about the bookGrokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detect­ing bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. SummaryGrokking 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 includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyDeep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning.About the BookGrokking 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. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks.What's insideThe science behind deep learningBuilding and training your own neural networksPrivacy concepts, including federated learningTips for continuing your pursuit of deep learningAbout the ReaderFor readers with high school-level math and intermediate programming skills.About the AuthorAndrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform.Table of ContentsIntroducing deep learning: why you should learn itFundamental concepts: how do machines learn?Introduction to neural prediction: forward propagationIntroduction to neural learning: gradient descentLearning multiple weights at a time: generalizing gradient descentBuilding your first deep neural network: introduction to backpropagationHow to picture neural networks: in your head and on paperLearning signal and ignoring noise:introduction to regularization and batchingModeling probabilities and nonlinearities: activation functionsNeural learning about edges and corners: intro to convolutional neural networksNeural networks that understand language: king - man + woman ==?Neural networks that write like Shakespeare: recurrent layers for variable-length dataIntroducing automatic optimization: let's build a deep learning frameworkLearning to write like Shakespeare: long short-term memoryDeep learning on unseen data: introducing federated learningWhere to go from here: a brief guide Artificial Intelligence is one of the most exciting technologies of the century, and Deep Learning is in many ways the “brain” behind some of the world’s smartest Artificial Intelligence systems out there. Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe. Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game. 1. Introducing Deep Learning: Why You Should Learn It 2. Fundamental Concepts: How Do Machines Learn 3. Introduction To Neural Prediction: Forward Propagation 4. Introduction To Neural Learning: Gradient Descent 5. Learning Multiple Weights At A Time: Generalizing Gradient Descent 6. Building Your First Deep Neural Network: Introduction To Backpropagation 7. How To Picture Neural Networks: In Your Head And On Paper 8. Learning Signal And Ignoring Noise: Introduction To Regularization And Batching 9. Modeling Probabilities And Nonlinearities: Activation Functions 10. Neural Learning About Edges And Corners: Intro To Convolutional Neural Networks 11. Neural Networks That Understand Language: King 12. Neural Networks That Write Like Shakespeare: Recurrent Layers For Variable-Length Data 13. Introducing Automatic Optimization: Let 14. Learning To Write Like Shakespeare: Long Short-Term Memory 15. Deep Learning On Unseen Data: Introducing Federated Learning 16. Where To Go From Here: A Brief Guide Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the world's smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the "black box" API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Want to dig even deeper into Deep Learning? Be sure to check out our video course Grokking Deep Learning in Motion, available exclusively at Manning.com (https://www.manning.com/livevideo/​grokking-deep-learning-in-motion)! Key Features:• Build neural networks that can see and understand images• Build an A.I. that will learn to defeat you in a classic Atari game• Hands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired.