neural-network

neural-network

Scaling inputs on different scales Neural Networks

Neural Network Neurons output numbers > 1

How can I improve the performance of a feedforward network as a q-value function approximator?

How do I go about having a cross-entropy layer in Caffe?

Neural Networks Regression : scaling the outputs or using a linear layer?

Problems in reinforcement learning: bug, parameters tuning, and training period

Tensorflow, how to chain GRU layers

Local minima in Backpropagation algorithm [closed]

Nvidia DIGITS - more than top 5 predicted classes

How to properly add and use BatchNormLayer?

caffe solver document. how to understand the momentum μ has an effect of factor $1/(1-μ)$?

BAM(Bidirectional Associative Memory)

Why data augmentation does not improve texture classification accuracy in CNNs?

How to accumulate and appy gradients for Async n-step DQNetwork update in Tensorflow?

How to correctly accumulate gradients across batches in Torch?

create hfd5 with float numbers for caffe

Extracting Patterns using Neural Networks

Parallel Computation with nngraph Torch

How the check that theano is only using FP32?

How to use caffe to classify text?

How to remove nodes from TensorFlow graph?

Standalone image patch extraction op in Tensorflow

Temperature prediction using artificial neural network

In what order should we tune hyperparameters in Neural Networks?

Can't approximate simple multiplication function in neural network with 1 hidden layer

Difference between i-vector and d-vector

Neural Networks back propogation

What's the difference between sparse_softmax_cross_entropy_with_logits and softmax_cross_entropy_with_logits?

How do I interpret pycaffe classify.py output?

Backpropagation neural network, too many neurons in layer causing output to be too high

Attention Model implementation Keras/Theano

How to design deep convolutional neural networks? [closed]

Scale layer in Caffe

choose learning rate in a neural network

How does a neural network work with correlated image data

what is EPOCH in neural network? [closed]

Deeplearning4j LSTM Example

Obsolete/erroneous code in convolutional_mlp.py at DeepLearningTutorials?

sigmoid - back propagation neural network

How to create a neural network that has a dynamic input?

Should I use loss or accuracy as the early stopping metric?

tensorflow store training data on GPU memory

Use brain.js neural network to do text analysis

Memory initialization and addressing in Neural Turing Machines

How do I use fbcunn nn.HSM

In tensorflow divide label and features is not supported?

Output of Artificial Neural Network in Othello

Shape mismatch in inner product layer Caffe

Why the CNN arrived at highest accuracy only after 100 iterations and cannot get improved?

Saliency maps of neural networks (using Keras)

Why should a kernel function satisfy Mercer's condition in ELM or SVM?

In NEURON .MOD files what is the order of operations of the sections?

Is training a neural network with same training examples bad practice?

Categorical Variables in TensorFlow

Sudden drop in accuracy while training a deep neural net

Tensorflow class balancing for training multi-class classification network

How to implement multi-class hinge loss in tensorflow

How about the approximation capability of a convolutional neural network?

Reconstruct Original Data using Denoising AutoEncoder

Using SparseTensor as a trainable variable?

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