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pydeepity
Python bindings for Deepity
|
Namespaces | |
| namespace | _backend |
| namespace | ConvolutionalPCN |
| namespace | DKPPCN |
| namespace | FullPCN |
| namespace | GaussSeidelPCN |
| namespace | layer |
| namespace | SequentialPCN |
| namespace | SimpleConvolutionalPCN |
| namespace | SimplePCN |
| namespace | utils |
Variables | |
| StreamAlignedBatcher = dy.StreamAlignedBatcher | |
| get_l2_cache_bytes = dy.get_l2_cache_bytes | |
| auto_batch_size = dy.auto_batch_size | |
| dynamic_thread = dy.dynamic_thread | |
| omp_max_threads = dy.omp_max_threads | |
| omp_num_procs = dy.omp_num_procs | |
| relu = dy.relu | |
| drelu = dy.drelu | |
| tanh = dy.tanh | |
| dtanh = dy.dtanh | |
| sigmoid = dy.sigmoid | |
| dsigmoid = dy.dsigmoid | |
pydeepity: Python bindings for Deepity, a predictive-coding neural network library. Import network classes (e.g. `FullPCN`, `SimplePCN`) and architecture building blocks (`Linear`, `ReLU`, `Convolution`, ...) directly from `deepity`.
| deepity.auto_batch_size = dy.auto_batch_size |
| deepity.drelu = dy.drelu |
| deepity.dsigmoid = dy.dsigmoid |
| deepity.dtanh = dy.dtanh |
| deepity.dynamic_thread = dy.dynamic_thread |
| deepity.get_l2_cache_bytes = dy.get_l2_cache_bytes |
| deepity.omp_max_threads = dy.omp_max_threads |
| deepity.omp_num_procs = dy.omp_num_procs |
| deepity.relu = dy.relu |
| deepity.sigmoid = dy.sigmoid |
| deepity.StreamAlignedBatcher = dy.StreamAlignedBatcher |
| deepity.tanh = dy.tanh |