| Edition |
Second edition. |
| Description |
1 online resource (1 volume) : illustrations |
|
text file |
| Contents |
Table of ContentsMachine Learning -- An IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision With Convolutional NetworksAdvanced Computer VisionGenerating images with GANs and Variational AutoencodersRecurrent Neural Networks and Language ModelsReinforcement Learning TheoryDeep Reinforcement Learning for GamesDeep Learning in Autonomous Vehicles. |
| Summary |
With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Python (Computer program language)
|
|
Python (Computer program language) |
|
Machine learning.
|
|
Machine learning. |
|
Neural networks (Computer science)
|
|
Neural networks (Computer science) |
|
Artificial intelligence.
|
|
Artificial intelligence. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: 1789348463 9781789348460 (OCoLC)1073089207 |
| ISBN |
1789349702 |
|
9781789349702 (electronic book) |
|
9781789348460 |
|
1789348463 |
|
