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Deep Learning
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that...
| প্রধান লেখক: | |
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| অন্যান্য লেখক: | |
| বিন্যাস: | Printed Book |
| প্রকাশিত: |
Cambridge, Massachusetts
The MIT Press
2016
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| মালা: | Adaptive Computation and Machine Learning series
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| বিষয়গুলি: |
সূচিপত্রের সারণি:
- Applied math and machine learning basics. Linear algebra
- Probability and information theory
- Numerical computation
- Machine learning basics
- Deep networks: modern practices. Deep feedforward networks
- Regularization for deep learning
- Optimization for training deep models
- Convolutional networks
- Sequence modeling: recurrent and recursive nets
- Practical methodology
- Applications
- Deep learning research. Linear factor models
- Autoencoders
- Representation learning
- Structured probabilistic models for deep learning
- Monte Carlo methods
- Confronting the partition function
- Approximate inference
- Deep generative models.