A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
I have read a sequence of images into a numpy array with shape (7338, 225, 1024, 3) where 7338 is the sample size, 225 are the …
python keras lstm recurrent-neural-networkI'm building a model that converts a string to another string using recurrent layers (GRUs). I have tried both a …
machine-learning neural-network keras recurrent-neural-network keras-layerI'm using Keras 1.0. My problem is identical to this one (How to implement a Mean Pooling layer in Keras), but …
machine-learning neural-network deep-learning keras recurrent-neural-networkI have coded a single layer RNN with LSTM in Tensorflow (ver 1.5) by Python (ver 3.6). I would like to add 3 …
python-3.x tensorflow lstm recurrent-neural-network multi-layerI'm rather new to Neural Networks and the Keras Library and I'm wondering how I can use the Embedding Layer …
neural-network embedding keras recurrent-neural-networkI have been working on Neural Networks for various purposes lately. I have had great success in digit recognition, XOR, …
neural-network time-series artificial-intelligence recurrent-neural-networkSources There are several sources out there explaining stateful / stateless LSTMs and the role of batch_size which I've read …
python keras lstm recurrent-neural-networkI'm running the word RNN implmentation of tensor flow of Word RNN How to calculate the perplexity of RNN. Following …
python tensorflow lstm recurrent-neural-networkI am building an RNN for classification (there is a softmax layer after the RNN). There are so many options …
python keras deep-learning recurrent-neural-network regularizedI was wondering how to implement biLSTM with Batch Normalization (BN) in Keras. I know that BN layer should be …
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