Neural Networks - Feedforward Algorithm | Matrix Math behind | Forward Propagation in a Deep Network

preview_player
Показать описание
In this Video, I explained how math metrics work behind neural network in very easy way. How feed forward (Forward Propagation) work and calculate final output in multi layer networks. How to Represent a Neural Network with Matrices.

Easily explained, how each neutron (building block) connect together and develop multi layer deep learning network including how to find the right dimension of Input, Weight and Bias matrices.
Рекомендации по теме
Комментарии
Автор

Thank you. What I could not understand from Andrew Ng, I learnt from you in 20 mins. Thank you once again.

ellora
Автор

zabardast first time mathametical funda samaj aya easily

chtpx
Автор

superb explanation that showcases how much of knowledge you have regarding the topic.

VersatileAnthem
Автор

You have explained in very easy way. Thanks!

jpbs
Автор

Thanks for your all effort to understand things from basic level

योगीगुरु
Автор

Excellent, excellent, simply Please put more videos on this topic sir - backward propogation too.

mn
Автор

Such an easily understandable explanation on forward propagation, thanks a lot!

deepikaselvamurugan
Автор

Thank you very much for your nice explanation!

mohammadtalaeifar
Автор

That’s awesome. Well explained. Thank you very much.

Can-uede
Автор

sir
please one example by this method

dinsefanesre
Автор

Thankyou for your vedios.Really your videos are very helpful

prasannasamana
Автор

I wonder what is Bias that you mentioned that each step will be added to the Matrix, could you plz clarify it?

mohammadtalaeifar