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Showing 2 open source projects for "seq"
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Keras TCN
Keras Temporal Convolutional Network
TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the maximum number of steps back in time from current sample at time T, that a filter from (block, layer, stack, TCN) can hit (effective history) + 1. ... -
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This is a set of programs to manipulate Commodore 64 Datasette tape files. These tools can convert a WAV file to a TAP file and vice versa, or extract PRG/SEQ files from a TAP file. Additional tools are planned to convert PRG/SEQ files to a TAP file.
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