Practical Deep Learning for Cloud, Mobile, and Edge with Keras and Tensorflow. BOOK REVIEW
Practical Deep Learning for Cloud, Mobile, and Edge. Real World AI & Computer Vision Projects Using Python, Keras and Tensorflow.
Another great book for doing practical deep learning with real and cool data science projects.
This book is a perfect material for:
1. To the backend/frontend mobile software developers
2. To the Data Scientist
3. To the Student
4. To the Teacher
5. To the Robotic Enthusiast
Link to the book on Amazon: https://www.amazon.com/Practical-Lear...
The content of the book:
#1. Exploring the Landscape of Artificial Intelligence
#2. What’s in the Picture: Image Classification with Keras
#3. Cats versus Dogs: Transfer Learning in 30 Lines with Keras
#4. Building a Reverse Image Search Engine: Understanding Embeddings
#5. From Novice to Master Predictor: Maximizing Convolutional Neural Network Accuracy
#6. Maximizing Speed and Performance of TensorFlow: A Handy Checklist
#7. Practical Tools, Tips, and Tricks
#8. Cloud APIs for Computer Vision: Up and Running in 15 Minutes
#9. Scalable Inference Serving on Cloud with TensorFlow Serving and KubeFlow
#10. AI in the Browser with TensorFlow.js and ml5.js
#11. Real-Time Object Classification on iOS with Core ML
#12. Not Hotdog on iOS with Core ML and Create ML
#13. Shazam for Food: Developing Android Apps with TensorFlow Lite and ML Kit
#14. Building the Perfect Cat Detector App with TensorFlow Object Detection API
Becoming a Maker: Exploring Embedded AI at the Edge
#15. Becoming a Maker: Exploring Embedded AI at the Edge
#16. Simulating a Self-Driving Car using End-to-End Deep Learning with Keras
#17. Building an Autonomous Car in Under an Hour: Reinforcement Learning with AWS DeepRacer
Link to the Github of the book: https://github.com/PracticalDL/Practi...
The most exciting point of this book personally for me are, that you will learn:
How to create AI mobile apps for both iOS and Android,
How to use Raspberry Pi for robotic and connecting AI models with devices and hardware.
The best AI, Deep Learning and Machine Learning practices from the leaders of AI industry.
How to connect simple Deep Learning models to clouds such as Amazon Web Services (AWS).
How to make apps and AI solutions efficiency, without tons of math behind.
In my daily Data Science works in projects I combine this book with another one: Hands on Machine Learning with Scikit-Learn, Keras & Tensorflow (Concepts, Tools, and Techniques to Build Intelligent Systems) by Aurelien Geron. Link to review: • The Best Machine Learning Book I have. Rev...
I love Data Science books from O'Reilly and this one is one of the leader in my collection.
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