Fundamentals of Deep Learning: Designing Next Generation Machine Intelligence Algorithms
Material type:
- 9789352135608
- 006.32 BUD
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.32 BUD (Browse shelf(Opens below)) | Available | M0036258 |
Total holds: 0
1. The network
2. Training feed forward neural networks
3. Implementing neural networks in tensor flow
4. Beyond gradient Descent
5. Convolutional neural networks
6. Embedding and representation learning
7. Models for sequence analysis
8. Memory augmented networks
9. Deep reinforcement learning
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