{epub download} Deep Learning
Deep Learning. John D. Kelleher
Deep-Learning.pdf
ISBN: 9780262537551 | 296 pages | 8 Mb
- Deep Learning
- John D. Kelleher
- Page: 296
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780262537551
- Publisher: MIT Press
Download ebooks ipad uk Deep Learning
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
The Complete Beginners Guide to Deep Learning - Towards Data
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms. From social network filtering to driverless cars to
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The lowdown on deep learning: from how it relates to the wider field of machine learning through to how to get started with it.
Deep Learning | Kaggle
Deep Learning. Use TensorFlow to take Machine Learning to the next level. Your new skills will amaze you. Overview. Free. 4 hrs. 8 Lessons. Prerequisite Skills:.
Deep Learning - Scholarpedia
Deep Learning has revolutionised Pattern Recognition and Machine Learning. It is about credit assignment in adaptive systems with long
CS 229 - Deep Learning Cheatsheet
Neural networks are a class of models that are built with layers. Commonly used types of neural networks include convolutional and recurrent neural networks.
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Deep learning is a type of machine learning that uses deep neural networks to train a computer to perform human-like tasks, like recognizing speech or images.
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