153 - Artificial Neural Networks - Explanation for those who understand linear regression

Want to learn about artificial neural network (ANN) from the perspective of linear regression? This tutorial explains ANN using heart disease data set and walks you through the process of calculating results using trained weights and biases.

Code generated in the video can be downloaded from here:

[hemanthchenga]

one of the best YouTube channel to learn deep learning, kudos to you sir.

[rshaikh]

excellent sreeni. I wish i had come to your channel before. now there is so much content that its overwhelming! but your explanation is so good with short videos covering only few concepts at a time and that makes it all manageable...

[srikanthpvr]

Excellent info which evry new learner should know how classicl machine learning to be used in NeuralNets.Presentation is superb and crisp

[manasranjanpanda]

Thank you so much Sir, Indeed you’re a great teacher and being a PhD scholar in Hydrology I have attended machine learning course to use it in my research work but I am so grateful to you because you explain everything in such a way that a layman can easily understand...

[brunospfc]

Great video, i'll recommend, and watch again

[vzinko]

just to be clear and for others' benefit, standard relu is not used in the output layer for nonnegative regression problems

[raihananuralya]

Hi sir. I still confuse about using ANN on linear regression data (on x and y). Better i use the code on this video or at your '155' video?
Thank you!

[bheemannanayak]

Hello sir, i have only one variable is there that is Age Dependency ratio data so how to do prediction for next 10 years using Artificial Neural Network.

[abderrahmaneherbadji]

Hello Sreeni.

Please let me know, how we can use SVM classifier to classify deep features (CNN) instead of softmax function.

Thank you.

[larrysummer]

Great video.. One question what activation function are you using in the last or output layer?

[dilipgyawali]

for this tutorial... which one is the dataset?

[aomo]

HI,
For the mse you have used: np.mean(y_test-y_predicted)**2, I think this is error;
mse =

Thank you

[charchikasinha]

Very thorough explanation! Did have that aha moment :)

[frankdearr]

Hi, usefull, perfect informations about how it works. great lesson, thanks a lot :)

[mohamedramzyibrahim]

Hello, thank you for your efforts. I want to ask you to explain RCNN, faster RCNN, Faster-RCNN, RNN and LSTM with their implementations. Thanks very much for your help and i hope you could answer my comment and explain them. Your explanation and code snippets helped me in alot of understanding and going deeper in cnn and feature extraction methods.

[efremyohannes]

Hello, your video helped me a lot, thank you. Could you please work video on Bi-directional RNN-LSTM for the text line recognition?

[nguyenhongthai]

Thank you for sharing, nice tutorial
Sir, can you make a video about medical hyperspectral images?

[motriz-industrial]

Very clearly explained! Thank you!
Been trying to find the equation for this data:
I wonder if there is something that today’s technology (software) offers to turn this data into a model.
Can neural networks do it?