neural-network Examples and Free Source Code

Back propagation from decoder input to encoder output in variational autoencoder...

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Does optimizer.apply_gradients do gradient descent?...

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Tensorflow for XOR is not predicting correctly after 500 epochs...

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Access accuracy in keras / tensorflow while learning...

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Understanding Pytorch Weight and Biases in Linear Layer...

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Creating input tensors with the right dimensions from data...

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How do I find the false positive and false negative rates for a neural network?...

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Programing a Pytorch neural network with a branch in the flow of information...

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Cannot run Carlini and Wagner Attack using foolbox on a tensorflow Model...

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Fine-tune Bert for specific domain (unsupervised)...

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What's the output of an Embedding layer in tensorflow and what does GlobalAveragePooling1D do it...

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Can a neural network having non-linear activation function (say ReLU) be used for linear classificat...

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ValueError: Tensor conversion requested dtype float32 for Tensor with dtype int32...

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Why is the decoder in an autoencoder uses a sigmoid on the last layer?...

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Complexity of individual in NEAT-Python...

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Flattening image matrixes for Deep Learning...

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Training a neural network to learn polynomial equation...

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How do I correctly use Keras Embedding layer?...

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Difference between tf.layers.conv2d and tf.contrib.slim.conv2d...

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How do I use a single neuron layer in the multiple layers of a multilayer network?...

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ValueError: Input 0 of layer lstm is incompatible with the layer: expected ndim=3, found ndim=4. Ful...

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Neural net loss exponentially rises after first propogation...

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Train neural network model on multiple datasets...

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Pytorch LSTM - generating sentence- word by word?...

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Endless Confusion Deriving the Sigmoid Function...

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Knight's Tour using a Neural Network...

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How to decrease Losses of Autoencoder Keras...

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np.random.rand somehow produces floats bigger than 1...

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Cross entropy yields different results for vectors with identical distributions...

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is this txt file actually an image?...

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