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hey guys in the previous video we implemented the multi-class logistic regression to recognize handwritten digits in this video we will be man on their own network to do the same job the network will be able to represent complex models that form non-linear hypotheses in this video when it be men fit forward propagation from their own network and you just to peel it with the word provided bar is a cost I highlighted that I wanted to do here we will have an input of 400 future or twenty by twenty pixel within generate twenty five output of the hidden layer using a theta one and generate the lab ten output from zero to nine with corresponding probability lastly we will now pick the highest confident prediction display at the number we predict from the input of twenty by twenty P so the prediction accuracy you think this matter is ninety seven point five percent better than 95 percent we were using Cystic regression in the last video and it actually run faster in the neck video we will rem
