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.
I couldn't really understand what a computational graph was until I watched this video. Thank you very much.
Thank you!
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.
I cannot express how thankful I'm !
Thank you again! This was incredibly simple to understand and exactly what I was looking for.
You can present complex information in simplified manner, many thanks!
The only video that explained me everything
Thank you so much!
very good thanks
Thank you!
I love you brother your teaching
Nice session
Very helpful
thanks for meaningful describe
Thank you!
Can you explain about optimizer state
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 please do a video on different cross validation techniques in machine learning
Great suggestion, thanks!
Great video
Thanks!
Thanks!! It was very useful
Thanks!
What is phi with a1? Is it activation function.?
nice video, birader aksanınızdan anladım
Thank you!
You're the goat
Do i need to understand all this to use neural networks? I'm scared shitless but my curiculuum says i have to learn it