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▼a Saleh, Hyatt. |
| 245 | 10 |
▼a Applied Deep Learning with Pytorch :
▼b Demystify Neural Networks with Pytorch/
▼c Hyatt Saleh.
▼h [electronic resource]. |
| 260 | 1 |
▼a Birmingham:
▼b Packt Publishing,
▼c 2019. |
| 300 | |
▼a 1 online resource (iv, 239 pages). |
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▼a Starting with the basics of deep learning and their various applications, Applied Deep Learning with PyTorch shows you how to solve trending tasks, such as image classification and natural language processing by understanding the different architectures of the neural networks. |
| 520 | |
▼a Machine learning is fast becoming the preferred way to solve data problems, thanks to the huge variety of mathematical algorithms that find patterns otherwise invisible to us. Applied Deep Learning with PyTorch takes your understanding of deep learning, its algorithms, and its applications to a higher level. The book begins by helping you browse through the basics of deep learning and PyTorch. Once you are well versed with the PyTorch syntax and capable of building a single-layer neural network, you will gradually learn to tackle more complex data problems by configuring and training a convolutional neural network (CNN) to perform image classification. As you progress through the chapters, you'll discover how you can solve an NLP problem by implementing a recurrent neural network (RNN). By the end of this book, you'll be able to apply the skills and confidence you've gathered along your learning process to use PyTorch for building deep learning solutions that can solve your business data problems. |
| 588 | 0 |
▼a Online resource; title from digital title page (viewed on July 21, 2019). |
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▼a Added to collection customer.56279.3 |
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▼a Machine learning. |
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▼a Machine learning.
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▼a Electronic books. |
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▼i Print version:
▼a Saleh, Hyatt.
▼t Applied Deep Learning with Pytorch : Demystify Neural Networks with Pytorch.
▼d Birmingham : Packt Publishing, Limited, ©2019
▼z 9781789804591 |
| 856 | 40 |
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