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Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python
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Product Details
| Publisher | Packt Publishing (April 26, 2017) |
| Language | English |
| Paperback | 318 pages |
| ISBN-10 | 1787128423 |
| ISBN-13 | 978-1787128422 |
| Item Weight | 1.23 pounds (0.55 kg) |
| Dimensions | 9.25 x 7.52 x 0.67 inches (23.5 x 19.1 x 1.7 cm) |
| Country of Origin | This item will be import from US |
| Date First Available | April 08, 2021 |
| What is in the box | Deep Learning with Keras:... For more details, please check description/product details |
Product Description
Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python
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Computer Science Editorial Review
Deep Learning with Keras is a fast and convenient guide to learning Keras, which is a user-oriented library for easy modelling of neural networks in Python. This book is written in a simple style and provides a lot of clear code examples. However, it lacks theoretical explanations and is not suitable for beginners in the field of deep learning. Keras API is the main focus of the book and the author avoids getting bogged down with the theoretical aspects of deep learning. The book is high-level and focused on demonstrating how to implement deep learning models and explaining what different modules do. Overall, this book is a great practical guide for Data Scientists who already understand machine learning models and techniques and want to get their hands dirty with deep learning.
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Pros
- Fast and convenient introduction to Keras
- Simple writing style
- Clear code examples
- Provides details about implementing many different deep learning models
- Great practical guide for Data Scientists
Cons
- Lacks theoretical explanations and is not suitable for beginners in the field of deep learning
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