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New posts in deep-learning

LSTM example to time series prediction via MXNet in R

r deep-learning lstm mxnet

The loss function decreases, but accuracy on train set does not change in tensorflow

tensorflow neural-network deep-learning conv-neural-network loss

reverse word embeddings in keras - python

python python-2.7 machine-learning neural-network deep-learning

Why doesn't Keras need the gradient of a custom loss function?

python python-3.x tensorflow deep-learning keras

What does mask r-cnn's AP, AP50, AP70 mean?

deep-learning caffe convolution deconvolution caffe2

How to calculate Batch Pairwise Distance in PyTorch efficiently

deep-learning pytorch tensor

Tensorboard: AttributeError: 'Model' object has no attribute '_get_distribution_strategy'

python-3.x tensorflow deep-learning tensorboard tensorflow2.0

Deep Learning Neural Networks for Time Series Prediction

neural-network time-series prediction deep-learning

Overfitting after first epoch

machine-learning computer-vision neural-network deep-learning conv-neural-network

Using rejection_resample() with the Dataset Api

tensorflow deep-learning

Getting deep learning tracker (GOTURN) to run opencv python

python opencv computer-vision deep-learning video-processing

Keras LSTM: dropout vs recurrent_dropout

deep-learning keras lstm recurrent-neural-network dropout

Meaning of batch_size in model.evaluate()

python keras deep-learning

tensorflow gradient - getting all nan values

python python-3.x tensorflow deep-learning gradient

One dimensional data with CNN

machine-learning deep-learning conv-neural-network

AttributeError:'Tensor' object has no attribute '_keras_history'

python machine-learning neural-network keras deep-learning

Add hand-crafted features to Keras sequential model

python tensorflow machine-learning deep-learning keras

How can you re-use a variable scope in tensorflow without a new scope being created by default?

python tensorflow machine-learning deep-learning tensor

Keras plot_model not showing the input layer appropriately

python tensorflow keras deep-learning artificial-intelligence

Validation loss oscillates a lot, validation accuracy > learning accuracy, but test accuracy is high. Is my model overfitting?

optimization deep-learning conv-neural-network
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