nmt-keras - Neural Machine Translation with Keras (Theano/Tensorflow)

•    Python

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Neural Machine Translation with Keras (Theano and Tensorflow). for obtaining the required packages for running this library.

neural-machine-translation keras deep-learning sequence-to-sequence theano machine-learning nmt machine-translation lstm-networks gru tensorflow attention-mechanism web-demo transformer attention-is-all-you-need attention-model attention-seq2seq

neural-networks - Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language

•    Jupyter

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In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks that has successfully been applied to analyzing visual imagery. CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing. They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics.

neural-networks convolutional-neural-networks scratch jupyter-notebook cnn handwritten-digit-recognition iris-dataset convolutional-layers derivatives forward-propagation backward-propagation numpy matplotlib lstm-neural-networks rnn backward-propagation-through-time lstm-cells lstm-networks deep-learning