Gnet

Latest version: v0.2

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0.2

• Addition of SimpleRNN, LSTM, GRU, TimeDistributed and RepeatVector layers.
• Addition of tensor.append, tensor.tanh and elementwise tensor.maximum operations.
• Addition of orthogonal initialization for RNN layers.
• Fixing not calling custom activation function directly (without calling string)
error.
• Fixing tensor.power operation’s negative power gradient calculation.
• Fixing broadcasting of tensor_sum operation.
• Altering 2D Matrix mul. operations from ‘dot‘ to ‘matmul‘ tensor ops.
• Altering epoch_loss calculation for multiple loss output such as output layer
is TimeDistributed(Dense(2)).
• Removing tensor.dot operation which is unnecessary for now.

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