DNN, CNN and RNN in tensorflow.. DNN and CNN have upto 99% test accuracy.. The trained RNN(GRU) generates random Shakespeare plays...
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Updated
Mar 25, 2018 - Python
DNN, CNN and RNN in tensorflow.. DNN and CNN have upto 99% test accuracy.. The trained RNN(GRU) generates random Shakespeare plays...
Collaborating Filtering Project
Generate and predict text, using Recurrent Neural Networks. (Keras+Tensorflow+Gensim)
Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.
DRAW aims to extract effective inferences from online drug reviews that would benefit drug users, pharma companies, and clinicians by receiving feedback on the drug based on opinion mining.
RNN-LSTM model that classifies movie reviews
Tensorflow ile Türkçe cümle analizi.
Trigger Word Detection from live audio
Multilabel classification of skill sets based on a job description, and deployment in a web app using Flask and pythonanywhere.
Comparing results of various algorithms on an email spam classification task for a college mini project.
The model is character-based, for each character the model looks up the embedding, runs the GRU one timestep with the embedding as input, and applies the dense layer to generate logits predicting the log-likelihood of the next character.
auto_code_complete is a deep-learning based auto word-completetion program which allows you to customize it on your needs. the model for this program is one of the deep-learning NLP(Natural Language Process) model structure called 'GRU(gated recurrent unit)'.
The goal of this project is to predict traffic using data collected from sensors. The prediction of traffic can be implemented in many ways that will improve traffic management, safety, and designing infrastructure.
[TGRS21] Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
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