Deep Learning
A good book is like a teacher who sits behind the reader and guides him/her accordingly. Deep Learning has been an area of current research. After toiling through the various concepts of Deep Learning, the book slithers around all principles of deep learning. This book highlights in deep the concepts of deep learning so that new projects and researchers can be done. The book serves, both as textbook and as a reference book .Some of the highlights of the book are: Simple Language, Recent Concepts of Machine and Deep Learning explained, MCQ's, Conceptual Short Questions & Answers, Case Studies, Case Tools (like Tensor Flow, H2O etc.)
- The Neural Network (Deep Learning)
- Machine Learning Retrospective
- Deep Feedforward Networks
- Deep Learning Optimization
- Convolutional Neural Networks
- Sequence Analysis
- Practical Deep Learning
- Applications of Deep Learning
- Deep Learning Survey
- Appendix A : Glossary
- Appendix B : Model Question Papers
- Project - 1: Training ANN & Acoustic Cryptography of Computer Keyboard
- Project - 2: Cryptography Using ANNs
- References
- Index
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