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Neural Networks with Keras Cookbook: Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
ZAR 1204
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By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter.
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| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Beginner Data Scientists
Ideal for users new to deep learning who seek hands-on experience with practical examples and code snippets.
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Keras Enthusiasts
Perfect for users familiar with Keras seeking to deepen their understanding and learn advanced techniques in neural networks.
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Practical Learners
Beneficial for individuals prefering cookbooks with step-by-step guidance to tackle common neural network problems using Keras.
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Advanced Researchers
Not suitable for experts looking for in-depth theoretical content or cutting-edge research methodologies in neural networks.
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Non-Programmers
Users without programming background may find the coding examples challenging to understand and implement effectively.
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Theoretical Learners
Not designed for those seeking comprehensive theoretical explanations rather than practical, example-driven learning.
Product Description
Neural Networks with Keras Cookbook: Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
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Intelligence & Semantics Editorial Review
The Neural Networks with Keras Cookbook offers over 70 recipes for leveraging deep learning techniques in various domains. While many readers appreciate the content and examples, there are concerns about the formatting and lack of detail. Some readers report that the example code provided does not work effectively, and there are instances of bugs throughout the book. Despite the availability of functional code on GitHub, it differs significantly from the book's content. Overall, the book receives mixed reviews with some finding value in its Keras examples, while others warn against wasting time and money on it.
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Pros
- Provides over 70 recipes for leveraging deep learning techniques with Keras
- Valuable resource for those seeking Keras examples and references
Cons
- Formatting issues throughout the book
Product Price History
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Features & Benefits
- Build advanced neural networks from scratch.
- Explore transfer learning for object detection and classification.
- Develop applications such as self-driving cars and chatbots.
- Understand data encoding for images, text, and recommender systems.
- Leverage CNN and RNN for end-to-end learning.
- Ideal for beginners and intermediate machine learning practitioners.
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