Deep Learning Models On Cloud Platforms(1st Edition)

Authors:

Vijay Ramamoorthi

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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ISBN: B0DT7F6LN3

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Book Price $0 : The Book "Introduction To Deep Learning And Cloud Platforms" Comprehensively Explores The Integration Of Deep Learning And Cloud Technologies, Providing A Structured Guide For Beginners And Professionals Alike. It Starts By Outlining The Evolution And Fundamentals Of Deep Learning, Explaining Key Concepts Like Neural Networks, Activation Functions, And Training Methods. The Benefits Of Cloud Computing For Deep Learning, Such As Scalability, Cost Efficiency, And Flexibility, Are Highlighted Alongside A Comparison Of Major Cloud Providers Like AWS, Azure, And Google Cloud.The Book Delves Into The Technical Setup Of Cloud Environments, Covering Account Creation, Configuring Virtual Machines, Leveraging GPUs And TPUs, And Installing Deep Learning Frameworks Like TensorFlow, PyTorch, And Keras. It Emphasizes Security Best Practices, Networking Essentials, And Monitoring Tools To Ensure A Robust Cloud Setup.For Model Development, It Explains Data Preprocessing, Architecture Selection, Transfer Learning, And Distributed Training. Readers Learn How To Train, Validate, And Test Models Efficiently On Cloud Platforms While Optimizing Costs And Leveraging Cloud-native Tools Like AutoML. Deployment Strategies, Including Batch, Real-time, And Serverless Methods, Are Detailed With Guidance On Containerization Using Docker And Kubernetes.Advanced Topics Include Cutting-edge Architectures Like CNNs, GANs, Transformers, And Techniques For Model Optimization, Such As Pruning, Quantization, And Distributed Training. The Book Also Addresses Security, Data Governance, And Collaborative Tools For Team-based Projects. Real-world Case Studies Demonstrate Successful Implementations Of Deep Learning In The Cloud, Providing Practical Insights.Finally, Future Trends In Deep Learning, Cloud Services, And Model Optimization Are Discussed, Offering Readers A Forward-looking Perspective On AI's Evolution. This Book Serves As A Holistic Resource For Understanding, Building, And Deploying Deep Learning Solutions In The Cloud.