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BrainJS / brain.js

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Documentation of neural network configurations

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WowItsDoge
WowItsDoge commented Feb 22, 2019

Is there an overview, how the config object for the constructors of the neural network are defined?

This would be interesting:

  • Has brain.NeuralNetwork and brain.recurrent.RNN the same config attributes?
  • What is the description of the inputSize attribute?

Thank you for the great work with this library, it is realy amazing!

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NELSONZHAO / zhihu

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This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples
  • Updated Feb 29, 2020
  • Jupyter Notebook

sjchoi86 / Tensorflow-101

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mlp_mnist_simple.ipynb => `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=..., ...)

aydenkim
aydenkim commented Nov 16, 2017

About https://github.com/sjchoi86/Tensorflow-101/blob/master/notebooks/mlp_mnist_simple.ipynb

Recently updated Tensorflow (1.4) will make the following error.

ValueError: Only call softmax_cross_entropy_with_logits with named arguments (labels=..., logits=..., ...)

Just simply adding named arguments will solve this issue.

cost = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(lo

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pytorch-kaldi

mravanelli / pytorch-kaldi

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pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm
  • Updated Dec 27, 2019
  • Python

kk7nc / Text_Classification

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Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network
  • Updated Jan 28, 2020
  • Python

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