Autoencoder Neural Networks with logisticRegressionOutput(flexible to use the module)
Autoencoder Neural Networks with logisticRegressionOutput
Convolutional Neural Networks with SoftmaxOutput(flexible to use the module)
Convolutional Neural Networks with SoftmaxOutput
Fully Connected Neural Network with SoftmaxOutput(flexible to use the module)
Fully Connected Neural Network with_LogisticRegressionOutput
Fully Connected Neural Network with_softmax
Fully Connected Sparse Neural Network with SoftmaxOutput(flexible to use the module)
Recurrent Neural Networks + GRU with SoftmaxOutput(flexible to use the module)
Recurrent Neural Networks + GRU with SoftmaxOutput
Recurrent Neural Networks + LSTM with SoftmaxOutput(flexible to use the module)
Recurrent Neural Networks + LSTM with SoftmaxOutput
Recurrent Neural Networks with SoftmaxOutput
Very flexible Autoencoder Neural Networks
Very flexible Convolutional Neural Networks
Very flexible Fully Connected Neural Network1
t10k-images-idx3-ubyte.gz
t10k-labels-idx1-ubyte.gz
train-images-idx3-ubyte.gz
train-labels-idx1-ubyte.gz
Very flexible Fully Connected Neural Network2
Very flexible Fully Connected Sparse Neural Network
Very flexible Recurrent Neural Networks
Fine-tune with Pretrained Models — mxnet documentation.pdf
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