neural-network

neural-network

Can linear model give more prediction accuracy than random forest,decision tree,neural network?

how to write a backward function for a caffe python layer with two top blobs?

keras loss jumps to zero randomly at the start of a new epoch

Gradient vanishes when using batch normalization in caffe

dropout_rate and learning_rate do not change in RandomSearchCV

What is the effect of adding new word vector embeddings onto an existing embedding space for Neural networks

How to fit data from InceptionV3 to ImageDataGenerator

How to determine accuracy with triplet loss in a convolutional neural network

Where is the class-prediction layer located in FCN (Semantic Segmentation)? And how does it work for per-pixel prediction?

how to train deep learning network [closed]

Neural networks for signal transform

Numeric representation of logs (or events) to treat with Neural Networks

Error function and ReLu in a CNN

neural network for classification - generalization

How does one calculate the target outputs of neurons in hidden layers of a neural network?

How to pass multiple inputs in Keras?

Network does not converge after creating a simple identity layer in pycaffe

Difference between Batch Normalization and Self Normalized Neural Network with SELU

Is nnet package in R only used to fit a neural network with single hidden layer?

Keras get_weight interpretation for RNNs

Apache SystemML DML doesn't allow for multiple return values in function

How to choose the number of filters in each Convolutional Layer? [closed]

How is input dataset fed into neural network?

The number of hidden nodes in autoencoder with small number of features

Why is the convolutional filter flipped in convolutional neural networks? [closed]

How do I find selfor in Octave?

DNN Regression for multiple inputs

Dimensions of inputs to a fully connected layer from convolutional layer in a CNN

Neural Network XOR not converging

Is neural network suitable for supervised learning where the data (inputs and outputs) are continuous?

Activation functions - Neural Network

number of units in the output layer of Hierarchical Softmax

How should one set up the immediate reward in a RL program?

How to add two output classification layers in keras?

CHECK failed while writing custom loss layer in Caffe

Manually changing the activations of stateful LSTM network (Keras)

Binary features with 0,0,0, in NN always return 0.5

keras neural network architecture incorrect

Neural Networks for predicting Energy at particular date

After adding dropout, my neural network is overfitting even more than before. What's going on?

what is the typical size of pre-trained image classification model size

Spatial reflection padding in Caffe

What weights should I use to start a NEAT based neural network?

Loss not decreasing : all sigmoid values close to 0 during training after few iterations

CNN binary classifier performing poorly

Can I normalise subsets of training data for a neural network?

When to use what type of padding for convolution layers?

Are there cases where it is better to use sigmoid activation over ReLu

How are Sigmoid/Tanh functions forgetting and including information in LSTMs

Keras sample_weight array error

i am unable to use GPU in tensorflow whereas theano works fine

Keras input explanation: input_shape, units, batch_size, dim, etc

Validation loss rising before falling again

Wrongly classified cases in a binary classification challenge (in keras)

Evaluating neural networks built with Comp Graph dl4j

neural network classification in matlab

DNN model - strange results. "Loss" results different in Train/Testing and in Kaggle

Can you use just backpropagation to teach a Neural Network to play turn based games?

Keras - use part of the input at later stage in sequential model

How to create & train a neural model to use for Core ML [closed]

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