Topic: dense-network Goto Github
Some thing interesting about dense-network
Some thing interesting about dense-network
dense-network,This repository contains the code for building a spam detection system for SMS messages using deep learning techniques in TensorFlow2. Three different architectures, namely Dense Network, LSTM, and Bi-LSTM, have been used to build the spam detection model. The final model has been deployed as a Streamlit app to showcase its working.
User: deepankarvarma
Home Page: https://deepankarvarma-sms-spam-detection-using-nlp-app-atp0na.streamlit.app/
dense-network,In this project, a sophisticated deep learning model called Convolutional Neural Network in conjunction with Dense Network (~20 million parameters) was utilized for predicting human handwritten digits with 98% accuracy with only 5 training epochs. The front end was designed to allow user to input their handwritten on a canvas and the machine will predict what number it is. Every stroke made on the canvas will be predicted in real-time. The finished product is hosted on AWS by docker containers.
User: henryle-n
Home Page: http://ec2-3-20-237-129.us-east-2.compute.amazonaws.com
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