neural-network

neural-network

ANN Mean Squared Error

Passing Individual Channels of Tensors to Layers in Keras

How does it work: Rectified Linear Unit in A Neural Network

Caffe: Initializing two channels of siamese networks with the same pretrained weights , but without sharing weights during training

Torch implementation of multi-output-layer neural network

Tensorflow: modify shape of placeholder when retrieving metagraph

Max-pooling vs. zero padding: Loosing spatial information

Simple tensorflow neural network not increasing accuracy or decreasing loss?

Can a neural network be trained with just a single class of training data?

Label Normalization in Deep Regression Networks

Why are inputs for convolutional neural networks always squared images?

Feature Extraction from Convolutional Neural Network (CNN) and use this feature to other classification algorithm

How can I apply basic algebra in Caffe?

Why different deep learning network predict at almost the same speed?

What does it mean to unroll a RNN dynamically?

Cutoff on Neural Network regression predictions

How to train a CNN to differentiate between HTML objects(foreground) and the background in a screenshot of a webpage using caffe?

Non-Symbolic loss in Keras/TensorFlow

Interpreting Loss and Error in Neural Network Training

How do I combine tf.absolute and tf.square to create the Huber loss function in Tensorflow?

How to prevent TensorFlow ANN from converging to a single output

Training bias weight backpropagation

Sentence feature vectors

How to merge two tensors at the beginning of a network in Torch?

How to reuse an existing neural network to train a new one using TensorFlow?

Reading encoded image data from lmdb database in caffe

Why is dropout preventing convergence in Convolutional Neural Network?

Neural network: Just some regression?

How to implement weight decay in tensorflow as in Caffe

Output of LSTM in many-to-many scenario in Caffe (C or H)

How can the classic training rule for a ReLU (linear rectifier unit) possibly work?

Caffe variable batch size

Tensorflow Inception Multiple GPU Training Loss is not Summed?

Caffe, operations among batches

Distribution over variable-sized input

NN validation error decreases and becomes constant after a while. What does that mean?

Keras: What is the correct data format for recurrent networks?

CNN for recognizing five different faces

Size of the output volume (Convolution Neural Network)

Single Neuron Neural Network - Types of Questions? [closed]

Neural Network - Working with a imbalanced dataset

Training siamese neural network on multiple GPUs in Torch: Share not supported for cunn's DataParallelTable

TensorFlow restoring from NN does not work

Is there a better structure for training Fully Convolution Neural Network?

The concept of straight through estimator (STE) [closed]

Tensorflow. Cifar10 Multi-gpu example performs worse with more gpus

Training Deep Convnet with small input size

Tensorflow: GPU Utilization is almost always at 0%

Artificial Neural Network Back Propagation testing

Tensorflow max-margin loss training?

Selectively zero weights in TensorFlow?

caffe: how to design lmdb for bounding box regression

can neural network learn from error of its input not output

Fully Convolution Networks with Varied inputs

Caffe is teeing me that the LMDB created by convert_imageset is empty

Target value shape in Lasagne

Connect 4 and neural networks

Why does supressing weights improve Tensorflow neural net performance?

Theano dataset dimensions error when passing into function

Caffe Image Data Layer with multiple labels

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