Book description
- Discover convolutional nets and how to use them
- Build deep feedforward nets using locally connected layers, pooling layers, and softmax outputs
- Master the various programming algorithms required
- Carry out multi-threaded gradient computations and memory allocations for this threading
- Work with CUDA code implementations of all core computations, including layer activations and gradient calculations
- Make use of the CONVNET program and manual to explore convolutional nets and case studies
Product information
- Title: Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
- Author(s):
- Release date: July 2018
- Publisher(s): Apress
- ISBN: 9781484237212
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