Understanding Backpropagation In Neural Networks with Basic Calculus 

I couldn't really understand what a computational graph was until I watched this video. Thank you very much.

the best session tha i can recommend to anyone. I studied computer science and i am not good at math and this was really a saver to coninue on.

Thank you again! This was incredibly simple to understand and exactly what I was looking for.

I cannot express how thankful I'm !

You can present complex information in simplified manner, many thanks!

The only video that explained me everything

very good thanks

Nice session

I love you brother your teaching

Very helpful

thanks for meaningful describe

Great video

Thanks!! It was very useful

at 12:18 at the bottom right corner i think the matrix with the xs should be a 1 x 3 matrix and not a 3x1 matrix, otherwise the matrix multiplication wont work

Can you please do a video on different cross validation techniques in machine learning

nice video, birader aksanınızdan anladım

Can you explain about optimizer state

You're the goat

What is phi with a1? Is it activation function.?

Do i need to understand all this to use neural networks? I'm scared shitless but my curiculuum says i have to learn it