Spent the past weeks trying to grasp backpropagation mathematically. Spent countless days on videos and textbooks. This is by far the most intuitive explanation. Just subbed. Thank you.
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
Spent the past weeks trying to grasp backpropagation mathematically. Spent countless days on videos and textbooks. This is by far the most intuitive explanation. Just subbed. Thank you.
I am glad this was helpful and thank you for subscribing.
Thank you again! This was incredibly simple to understand and exactly what I was looking for.
Very helpful
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
Both vectors x and w are 3x1. Note that we are using the transpose of W, which means that the result would be (1 x 3) x (3 x1), which is scalar.
Can you explain about optimizer state
Do i need to understand all this to use neural networks? I'm scared shitless but my curiculuum says i have to learn it
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.
Thanks!! It was very useful
Thanks!
Can you please do a video on different cross validation techniques in machine learning
Great suggestion, thanks!
What is phi with a1? Is it activation function.?
I couldn't really understand what a computational graph was until I watched this video. Thank you very much.
Thank you!
I love you brother your teaching
You can present complex information in simplified manner, many thanks!
I cannot express how thankful I'm !
very good thanks
Thank you!
You're the goat
thanks for meaningful describe
Thank you!
The only video that explained me everything
Thank you so much!
nice video, birader aksanınızdan anladım
Thank you!
Nice session
Great video
Thanks!