Train a Deep Neural Network (86% Accuracy) using Keras and Tensorflow to defend applications with Django REST Framework and JWT

by jayjohnson 8 years ago

GNU/Linux • xterm-color • bash 1489 views

Train a Deep neural network with Keras + Tensorflow to predict attack and non-attack records using a prepared dataset. Please checkout the keras-dnn.py module if you are interested in learning more. Please let me know if there are better ways to set up the neural network layers or hyperparameters as well.

Script in Video: https://github.com/jay-johnson/train-ai-with-django-swagger-jwt/blob/master/tests/create-keras-dnn.py

keras-dnn.py: https://github.com/jay-johnson/network-pipeline/blob/master/network_pipeline/scripts/modelers/keras-dnn.py

REST API Repository: https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

Capture Repository: https://github.com/jay-johnson/network-pipeline

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