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About Tom M CMU ANN Lecture Notes
This document contains notes from a machine learning course. It discusses several topics: 1. Artificial neural networks and backpropagation for training neural networks. 2. Recurrent neural networks and convolutional neural networks for processing time series and image data. 3. Deep belief networks and restricted Boltzmann machines for representation learning through layer-wise unsupervised pre-training of deep models. 4. Applications of deep learning in areas like computer vision, speech recognition, and natural language processing that have driven recent advances through learning powerful feature representations from data.
Detailed Information
| Author: | ['San Deep'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 68 |
| Language: | English |
| Format: | |
| Price: | FREE |
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