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Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)
0.21.0
Performance library for Deep Learning
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Modules | |
| Primitive descriptors | |
| Convolution | |
| A primitive to compute convolution using different algorithms. | |
| Deconvolution | |
| A primitive to compute deconvolution using different algorithms. | |
| LRN | |
| A primitive to perform local response normalization (LRN) across or within channels. | |
| Pooling | |
| A primitive to perform max or average pooling. | |
| Eltwise | |
| A primitive to compute element-wise operations like parametric rectifier linear unit (ReLU). | |
| Softmax | |
| A primitive to perform softmax. | |
| Batch normalization | |
| A primitive to perform batch normalization. | |
| Inner Product | |
| A primitive to compute an inner product. | |
| RNN | |
| A primitive to compute common recurrent layer. | |
| Shuffle | |
| A primitive to shuffle data along the axis. | |
1.8.14