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New posts in deep-learning

How to unpack pkl file?

python pickle deep-learning mnist

Common causes of nans during training

machine-learning neural-network deep-learning caffe gradient-descent

Which parameters should be used for early stopping?

python keras deep-learning conv-neural-network

multi-layer perceptron (MLP) architecture: criteria for choosing number of hidden layers and size of the hidden layer? [closed]

machine-learning neural-network deep-learning perceptron

How to apply gradient clipping in TensorFlow?

python tensorflow machine-learning keras deep-learning

Check the total number of parameters in a PyTorch model

deep-learning pytorch

What does model.eval() do in pytorch?

python machine-learning deep-learning pytorch

Why do we "pack" the sequences in PyTorch?

deep-learning pytorch recurrent-neural-network tensor zero-padding

What is the use of verbose in Keras while validating the model?

python deep-learning keras verbose

Many to one and many to many LSTM examples in Keras

machine-learning neural-network deep-learning keras recurrent-neural-network

What is the role of "Flatten" in Keras?

machine-learning tensorflow neural-network deep-learning keras

Why must a nonlinear activation function be used in a backpropagation neural network? [closed]

math machine-learning neural-network deep-learning

Intuitive understanding of 1D, 2D, and 3D convolutions in convolutional neural networks [closed]

machine-learning deep-learning signal-processing conv-neural-network convolution

What does tf.nn.embedding_lookup function do?

python tensorflow deep-learning word-embedding natural-language-processing

How to initialize weights in PyTorch?

python machine-learning deep-learning neural-network pytorch

Keras, How to get the output of each layer?

python tensorflow deep-learning keras

Why binary_crossentropy and categorical_crossentropy give different performances for the same problem?

machine-learning keras neural-network deep-learning conv-neural-network

Why do we need to call zero_grad() in PyTorch?

python neural-network deep-learning pytorch gradient-descent

How to interpret loss and accuracy for a machine learning model [closed]

machine-learning neural-network mathematical-optimization deep-learning objective-function

Best way to save a trained model in PyTorch?

python serialization deep-learning pytorch tensor
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