The Sigmoid Function Clearly Explained

In this video we discuss the sigmoid function.

The sigmoid function plays an important role in the field of machine learning and is considered as one of the most widely used so-called activation functions.

More specifically, in the context of logistic regression, the sigmoid is used to predict the outcome of binary classification problems.

#sigmoid #machinelearning #logisitcregression #binaryclassification

[atheneus]

I'm shocked to see that this channel is so small. Please keep uploading, you're a goldmine.

[Administrator]

Truly CLEARLY explained! Good job. I look forward to seeing the rest of the series.

[DubZenStep]

This is the clearest explaination ever made. The world needs more people like you my friend. Thank you so much, you are a game changer.

[Jake-msdr]

I decided to learn a little bit about the sigmoid so I could understand neural nets slightly better, and I'm glad I did. Very good video.

[nononnomonohjghdgdshrsrhsjgd]

Finally someone who understands it. I can`t believe how people lack ground knowledge in plotting functions, but are already studying Maschine Learning. Thank you very much.

[upperground]

This is such a great explanation. So much important information is packed into this one video. Thank you very much for saving my time! keep up the great work. The programming community needs more people like you

[Kugelschrei]

Thank you so much, this really helped me grasp the concept. I always wondered how big inputs (or many inputs) result in 0-1 ranges when leaving the node, since they are all added and multiplied beforehand. I knew the activation function takes care of it, but had no idea how exactly

[pierocruz]

woow, I didn't think I would get the idea in a youtube video
thanks!!

[alessandrobelottidev]

THIS IS THE MOST AMAZING VIDEO ABOUT THE SIGMOID. It really helped me understanding better machine learning @16

[guanlunzeng]

Thanks for the video! Very easy and clear to understand the Sigmoid function.

[himanshugautam]

Amazing explanation. Looks like I will never forget this concept as it was explained so well.

[heidik]

Best way of explaining it in my eyes. Cheers!

[rabistonechoy]

Ah.. because I didn't learn math properly, I couldn't understand why is this working as binary activation. Thank you for explaining.

[sachinsharma-urdq]

Thanks for a clear and to the point explanation...

[arthurpendragoon]

thanks, your video is easy to understand, hope you keeping working on more things like this.

[amingilani]

You should create more videos. Beautifully explained.

[willbutonline]

This is fantastically visualized and explained! :D

[hijack]

clear as day. Thank you for the amazing explanation

[belfloretkoriciza]

Keep it up guys we really appreciate your effort

[spawnerbest]

Really clear and straightforward explanation, thanks a lot!