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