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Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

Home Page: https://www.linkedin.com/in/ahmedfgad

Python 93.68% HTML 5.17% JavaScript 0.36% CSS 0.79%
cnn computer-vision convnet convolutional-neural-network css dropout flask fully-connected-network html http image-classification image-processing javascript max-pooling python relu tensorflow web-application

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cifar10cnnflask's Issues

Hanging!

I's trying to understand your code for educational purposes. However at the time i run CIFARTrainCNN.py python file , my PC hung up. I've core i5 6gen 3.3Gz wth 8GB ram. Will you please suggest me what's the minimum requirement of PC configuration or it happens for something else. Thanks.

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