neural-network

neural-network

Loss isn't decreasing in neural network

neural network error is a matrix

How's it even possible to use softmax for word2vec?

Training Multi-Layer Perceptron correctly for powers of 2

Approximate the log-function using keras

Why are Embeddings in PyTorch implemented as Sparse Layers?

How to use different activation functions in one Keras layer?

derivative of a function fitted using a neural network

Impact of using relu for gradient descent

How to calibrate the thresholds of neural network output layer in multiclass classification task?

units of neural network layer are independent?

What is the consequence of not normalizing test data after training a convolutional neural network

The Gradient descent different between in Ng coursera and Michael A. Nielsen book

Python Keras MLP for Multi-class classification value error while model fit

How to understand Caffe reshape parameters and reimplement in Keras?

Train accuracy drops in some epochs

What exactly is gradient checking?

Convolutional neural network back propagation - delta calculation in convolutional layer

Tensorflow gradient shape incompatible when using Convolutional Transpose Layer

Understanding multi-layer LSTM

Why random sample from replay for DQN?

A neural networks framework where I can set my own activation

Binary classification always outputs 1

In caffe, py-faster-rcnn, "scores" return a large matrix, why?

When we initialize weights of a neural net(BP) to zero, what is the error function in this point?

Accuracy does not change

Practical difference between deconvolution and resize followed by convolution for upscaling

What does it mean for a dropout layer to be trainable in keras?

Is it meaningful to remove layers with %100 sparsity in a CNN - VGG 16

Keras LSTM: modeling the layers

Vector operations of a neural network layer with different activation functions

Upsampling in Semantic Segmentation

Different approach to detecting shapes using CNNs (optic disc in a retina image)

Michael Nielsen's NNDL chapter 1 about indices j and k swap why?

How to design an unsupervised neural network that does not do input classification?

Neural network train on L-System output?

Deep Neural Networks - Improve performance of text classification

Avoiding Dummy variable trap and neural network

Change optimizer alghoritm in Keras

how to adjust the weights in gradient descent

Residual Neural Network: Concatenation or Element Addition?

what is considered differentiable compute?

Bias value in weka software for MLP

Does image augmentation helps?

inconsistent results between Keras and MLPClassifier sklearn

How do I calculate Gradient of ranking loss?

Adding softmax significantly changes weight updates

what is the default kernel_initializer in keras

Keras: using VGG16 to detect specific, non-generic item?

Training on a fitness function

What does the parameter retain_graph mean in the Variable's backward() method?

Given a Cost Function, C(weights), that depends on expected and network outputs, how is C differentiated with respect to weights?

caffe circular shift of zero-padded upscaled images for interpolation

How to do Unpooling with caffe standard version

Activation function for output layer for regression models in Neural Networks

Why scaling data is very important in neural network(LSTM)

Calculate the output of a single-layer neuron with weight bias?

Tensorflow doesn't want to use GPU

Recommendation in Video Analysis with Neural Network

Why does deep learning not suffer from float or numerical precision errors if most of its training is on data with mean 0 and std 1?

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