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pesoto / Text-Analysis

Star 49

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 44

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 Jun 21, 2022
  • Jupyter Notebook

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

Star 39

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 20

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 12

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 Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.

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 7

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

kplachkov / Deep-Learning

Star 2

Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.

data-science deep-learning neural-network linear-regression language-modeling cnn recurrent-neural-networks recommendation-system lstm-model restricted-boltzmann-machine tensorflow-tutorials convolutional-neural-networks autoencoders neural-network-example deep-belief-network artificial-intelligence-algorithms long-short-term-memory-models neural-network-algorithm activation-functions neural-network-architectures
  • Updated Nov 3, 2018
  • Jupyter Notebook

sumanismcse / Using-LSTM-network-for-Sentiment-Analysis

Star 1
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Convert pytorch model to onnx file and onnx file to tensorflow model for better data serving in the app

sumanismcse
sumanismcse commented Oct 3, 2019

### When I tried to convert pytorch model to onnx file,This Happened:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-33-a9d25627b347> in <module>()
     10 # Export the trained model to ONNX
     11 dummy
Read more
bug help wanted good first issue question

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