CS 535 Deep Learning
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The CS 535 Deep Learning course is basically an introduction to the ideas and algorithms in deep learning; basic feed forward neural networks, convolution neural networks, perennial neural networks, deep belief nets, auto encoders and deep networks in reinforcement learning.
Learning objectives:
- Have a solid understanding of the ideas of deep learning.
- Gain some intuitions on deep networks; perceive why they perform well.
- Understand the coaching of deep learning models and able to justify and toggle parameters.
- Be able to use a minimum of one deep learning tool chest to style and train a deep network.
- Be able to style new deep learning algorithms and architectures.
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