|
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
Books audio free download Deep Learning (English Edition) PDB RTF by John D. Kelleher
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.
Deep Learning and Artificial Intelligence Solutions | NVIDIA
The world of computing is experiencing an incredible change with the introduction of deep learning and AI. Deep learning relies on GPU acceleration, both for
Interpreting Deep Learning Models for Computer Vision - Medium
and “How does a machine learning or deep learning model make its decisions?”. Interpreting machine learning or deep learning models has
What is Deep Learning? - Definition from Techopedia
Deep learning is a collection of algorithms used in machine learning, used to model high-level abstractions in data through the use of model architectures, which
Unsupervised Feature Learning and Deep Learning Tutorial
Description: This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning. By working through it, you will also get to
Deep Learning (Adaptive Computation and Machine Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and
Deep Learning | Latest News, Photos & Videos | WIRED
Find the latest Deep Learning news from WIRED. See related science and technology articles, photos, slideshows and videos.
From 2016: Why Deep Learning Is Suddenly Changing Your Life
They've all been made possible by a family of artificial intelligence (AI) techniques popularly known as deep learning, though most scientists
Deep Learning & Artificial Neural Networks
Deep Learning | Interested in learning more about deep learning and artificial neural networks? Discover exactly what deep learning is by
More eBooks:
[Kindle] Norilsk download
[download pdf] Sleep No More: Six Murderous Tales
Download PDF La vie solide - La charpente comme éthique du faire