Neural Network from scratch in Python

So in this video i build a neural network from scratch where i try to replicate the image classification neural network that tensorflow provide in their demo code . Also i will be using Fashion mnist. data set follow me on insta : https://www.instagram.com/_deepak_singh25/ check the code on my github acc :https://github.com/DeepakSingh260 some links to website that helped me : This article cover creating neural network and it really helped me: https://medium.com/binaryandmore/beginners-guide-to-deriving-and-implementing-backpropagation-e3c1a5a1e536 for datasets and the idea: https://www.tensorflow.org/tutorials/keras/classification also this opencv tutorial video is really good : https://www.youtube.com/watch?v=WQeoO7MI0Bs&t=3942s Time stamps : 0:00:00 0:00:13 introduction 0:00:13 0:04:15 Loading data set 0:04:15 0:18:15 initialising neural network 0:18:15 0:30:40 Feed Forward Propagation 0:30:40 0:34:35 Talking about computing cost 0:34:35 0:54:50 Back-propagation 0:54:50 1:02:24 creating fit function for checking accuracy 1:02:24 1:20:24 getting live feed from webcam and processing the image 1:20:24 1:35:10 debugging the code and playing with image processing 1:35:10 1:36:40 talking about some upcoming video