A Numpy implementation of the dilated/atrous CNNs proposed by Yu et al. as well as transposed convolutions.
Convolution and Transposed Convolution in a Matrix Multiplication View
A tutorial about generative adversarial networks with the example of generating handwritten digits
Notebook and resources for https://predictiveprogrammer.com/convolution-and-variants/
Function for transpose convolution or 'deconvolution' in tensorflow
Small NeuralNet-Framework implemented with NumPy (Convolution|TransposeConv|Linear)
Digit recognition neural network using the MNIST dataset. Features include a full gui, convolution, pooling, momentum, nesterov momentum, RMSProp, batch normalization, and deep networks.
FCN with Resnet50 Encoder, Transfer Learning, Tensor flow, Keras
A technical report on convolution arithmetic in the context of deep learning
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