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long-short-term-memory-models

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pesoto / Text-Analysis

Star 55

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

python machine-learning text-mining neural-network word2vec word-embeddings web-scraping lstm expectation-maximization gradient-descent text-processing lda text-prediction scraping-websites latent-dirichlet-allocation skipgram gibbs-sampling long-short-term-memory-models word-embedding textual-analysis
  • Updated Sep 21, 2017
  • Jupyter Notebook

MrinmoiHossain / Udacity-Deep-Learning-Nanodegree

Star 51

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

nlp machine-learning udacity deep-learning sentiment-analysis neural-network pytorch recurrent-neural-networks generative-adversarial-network style-transfer rnn nanodegree convolutional-networks convolutional-neural-networks transfer-learning gans udacity-nanodegree long-short-term-memory-models lstms
  • Updated Aug 23, 2022
  • Jupyter Notebook

MuhammedBuyukkinaci / TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

Star 50

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

sentiment-analysis text-classification tensorflow lstm gru tensorflow-tutorials tensorflow-experiments low-level lstm-neural-networks sentiment-classification tensorflow-examples long-short-term-memory-models tensorflow-gpu text-classifier lstm-sentiment-analysis gated-recurrent-units amazon-reviews tensorflow-api gated-recurrent-unit lstm-sentiment-classification
  • Updated Sep 21, 2019
  • Python

AFAgarap / dl-relu

Star 21

Deep Learning using Rectified Linear Units (ReLU)

classifier machine-learning deep-neural-networks computer-vision deep-learning tensorflow keras recurrent-neural-networks artificial-intelligence neural-networks supervised-learning classification artificial-neural-networks convolutional-neural-networks vgg16 keras-models keras-neural-networks keras-tensorflow long-short-term-memory-models multilayer-perceptron
  • Updated Jun 21, 2022
  • Jupyter Notebook

ttungl / Deep-Learning

Star 11

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

machine-learning deep-learning tensorflow word2vec recurrent-neural-networks lstm dropout regularization convolutional-networks stochastic-gradient-descent long-short-term-memory-models relus
  • Updated Dec 13, 2017
  • Jupyter Notebook

sourcecode369 / deep-natural-language-processing

Star 11

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

nlp deep-learning tensorflow machine-translation chatbot word-embeddings language-modeling recurrent-neural-networks question-answering text-summarization image-classification image-captioning music-generation attention-mechanism seq2seq-model memory-networks long-short-term-memory-models gated-recurrent-units transformer-architecture natural-language-tasks
  • Updated Apr 24, 2020
  • Jupyter Notebook

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