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pros
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pros
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Well-Structured Code Files
Customers are highly impressed with the well-structured code files provided in the book, which they find easy to understand, modify, and use as inspiration for their own projects. The organization of the code snippets complements the practical insights and real-world applications offered in each chapter, making it an essential resource for both beginners and experienced practitioners.
Real-World Vision Tasks Focus
Customers are highly impressed with the book's focus on real-world vision tasks and its comprehensive coverage of deep learning fundamentals, traditional computer vision tasks, and advanced applications such as generative AI, transfer learning, pre-trained architectures, and combining vision with NLP.

Highlights
Quality
I like that the coverage on deep learning and multimodal models are made for real-world vision tasks.
The code snippets corresponding to each use-case is extremely well-organized.
It’s a delight to have working, well-structured code files and understand the reason why they are structured the way they are f... Read More
Some good examples on implementing custom loss functions and using a sequential method to build a neural network.
Overview
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advanced, neural, through, each and structured. - Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
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- Our engine has discovered that over 90% high quality reviews are present.
- This product had a total of 26 reviews as of our last analysis date on Dec 30 2024.
Helpful InsightsBETA
Posted by a reviewer on Amazon
Some good examples on implementing custom loss functions and using a sequential method to build a neural network
Posted by a reviewer on Amazon
Code examples and exercises to help understand the concepts better are there
Posted by a reviewer on Amazon
I have gone through almost all the code files shared in the book
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