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Topic: "dense-layers"

swap-253/Twitter-US-Airline-Sentiment-Analysis

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

its-Kumar/signlang_project

Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.

Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

jarred13/Predicting_Quality_of_Wine

Using data to help us choice high quality wine

Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

komfysach/fraud-detection

Fraud Classification using Deep Learning Techniques

Language: Jupyter Notebook - Size: 326 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

copev313/Chatbot-Using-Deep-Learning

We build a chatbot by implementing machine learning and natural language processing.

Language: Jupyter Notebook - Size: 368 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

mohadeseh-ghafoori/Trigger-Word-Detection

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/Neural-Machine-Translation

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AAnirudh07/ImageCLEF-2021

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

KatameRonin/AutoEncoders

Implementations of different types of AutoEncoders

Language: Jupyter Notebook - Size: 593 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

hmcalister/MNIST-Machine-Learning-Investigation

A beginner's investigation into the world of neural networks, using the MNIST image dataset

Language: Python - Size: 11.9 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Topics
tensorflow 4 deep-learning 3 lstm 2 cnn 2 neural-networks 2 python 2 machine-learning 2 keras 2 dropout-layers 2 numpy 2 adam-optimizer 2 cross-entropy-loss 2 bidirectional-rnn 2 flask-application 1 hyperparameter-tuning 1 keras-tensorflow 1 keras-tuner 1 knn-classification 1 lstm-sentiment-analysis 1 multinomial-naive-bayes 1 random-forest-classifier 1 sentiment-analysis 1 batch-normalization 1 conv1d 1 gru-neural-networks 1 user-intent 1 overlapping 1 trigger-word-detection 1 deep-neural-networks 1 tuberculosis-classification 1 text-preprocessing 1 sklearn 1 embedding-models 1 global-average-pooling 1 jupyter-notebook 1 label-encoding 1 sequential-models 1 attention-model 1 lstm-neural-networks 1 neural-machine-translation 1 convolutional-layers 1 dropout-rates 1 model-architectures 1 classification 1 extreme-gradient-boosting 1 machine-learning-explainability 1 uci-dataset 1 wine 1 wine-quality 1 wine-quality-prediction 1 autoencoder 1 encoder-model 1 decision-trees 1 fraud-detection 1 random-forest 1 dataaugmentation 1 neurons 1 sign-language-dataset 1 sign-language-detection 1 signlanguagerecognition 1 airline-sentiment 1 artificial-neural-networks 1 bidirectional-lstm 1 deployment 1