| 000 | 02060nam a2200253Ia 4500 | ||
|---|---|---|---|
| 001 | 355656 | ||
| 003 | 0000000000 | ||
| 005 | 20211104093422.0 | ||
| 008 | 130128n 000 0 eng d | ||
| 020 | _a9781789536089 | ||
| 040 | _erda | ||
| 050 |
_aQA 76.87 _b.P975 2019 |
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| 100 |
_aPurkait, Niloy _9128259 |
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| 245 | 0 |
_aHands-on neural networks with Keras : _bdesign and create neural networks using deep learning and artificial intelligence principles / _cNiloy Purkait. |
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| 264 |
_aUK : _bPackt Publishing, _cc2019. |
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| 300 |
_axii, 443 pages _c23 cm. |
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| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
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| 338 |
_avolume _2rdacarrier |
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| 520 | _aNeural networks are used to solve a wide range of problems in different areas of AI and deep learning. Hands-On Neural Networks with Keras will start with teaching you about the core concepts of neural networks. You will delve into combining different neural network models and work with real-world use cases, including computer vision, natural language understanding, synthetic data generation, and many more. Moving on, you will become well versed with convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) networks, autoencoders, and generative adversarial networks (GANs) using real-world training datasets. We will examine how to use CNNs for image recognition, how to use reinforcement learning agents, and many more. We will dive into the specific architectures of various networks and then implement each of them in a hands-on manner using industry-grade frameworks. By the end of this book, you will be highly familiar with all prominent deep learning models and frameworks, and the options you have when applying deep learning to real-world scenarios and embedding artificial intelligence as the core fabric of your organization.--https://www.packtpub.com | ||
| 650 |
_aNeural networks (Computer science). _2sears _963982 |
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| 942 | _cCIR | ||
| 999 |
_c91937 _d91937 |
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