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New posts in neural-network

Tensor indexing in custom loss function

tensorflow neural-network keras

Getting same predicted values for all inputs in trained tensor flow network

python tensorflow neural-network

Sigmoid output - can it be interpreted as probability?

machine-learning neural-network classification probability sigmoid

Need a specific example of U-Matrix in Self Organizing Map

machine-learning neural-network

Questions about Q-Learning using Neural Networks

machine-learning artificial-intelligence neural-network reinforcement-learning q-learning

Neural Networks: Does the input layer consist of neurons?

machine-learning neural-network

scale the loss value according to "badness" in caffe

neural-network deep-learning caffe conv-neural-network

Sequence prediction of characters?

text machine-learning neural-network lstm n-gram

What is a fused kernel (or fused layer) in deep learning?

tensorflow neural-network deep-learning pytorch

Help me with my backprop implementation in Python

python algorithm math neural-network

PyBrain:How can I put specific weights in a neural network?

python neural-network pybrain

How to perform multi-label learning with LSTM using theano?

neural-network theano deep-learning lstm

A reusable Tensorflow convolutional Network

python neural-network convolution tensorflow conv-neural-network

Forecasting time series data with PyBrain Neural Networks

python neural-network forecasting pybrain lstm

How does the distorted_inputs() function in the TensorFlow CIFAR-10 example tutorial get 128 images per batch?

machine-learning neural-network tensorflow

Max over time pooling in Keras

machine-learning neural-network nlp keras conv-neural-network

Can one only implement gradient descent like optimizers with the code example from processing gradients in TensorFlow?

python machine-learning tensorflow neural-network conv-neural-network

Getting a neural network to output anything inbetween -1.0 and 1.0

c# neural-network

How to compute gradient of output wrt input in Tensorflow 2.0

python-3.x tensorflow neural-network tensorflow2.0

In PyTorch's "MaxPool2D", is padding added depending on "ceil_mode"?

deep-learning neural-network pytorch padding max-pooling
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