Step1. reading the images and the labels Step2. Setting learning rate, dropout fraction, epoches and batchs Step3. Setting activation function (Sigmoid) Step4. Calculating the nn fowardings Step5. Calculating the nn back propogations
Step5, Refresh nn and the gradients Step6. Stastistics of accuracy and batch regressions
