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New posts in deep-learning

What is the intuition of using tanh in LSTM? [closed]

how to format the image data for training/prediction when images are different in size?

deep-learning

RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same

keras: how to save the training history attribute of the history object

How to fix RuntimeError "Expected object of scalar type Float but got scalar type Double for argument"?

How to add regularizations in TensorFlow?

Keras, how do I predict after I trained a model?

What is the role of TimeDistributed layer in Keras?

Using a pre-trained word embedding (word2vec or Glove) in TensorFlow

What does global_step mean in Tensorflow?

tensorflow deep-learning

How to unpack pkl file?

Common causes of nans during training

Which parameters should be used for early stopping?

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

How to apply gradient clipping in TensorFlow?

Check the total number of parameters in a PyTorch model

deep-learning pytorch

What does model.eval() do in pytorch?

Why do we "pack" the sequences in PyTorch?

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

Many to one and many to many LSTM examples in Keras