Training a Neural Network explained

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In this video, we explain the concept of training an artificial neural network.

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You are one of the only ML teachers who actually speaks human-understandable words. Thank you for making this easier.

tylersnard

This is the most instructive and no-nonsense tutorial on deep learning that I've seen so far. Not too shallow and hyped, not boringly detailed. Kudos to you for making such brilliant educational material.

blankslate

Thank you for making it so easy to understand, you are one of the best ML teacher on youtube.

immanueljzv

This channel is a go to place for training on deep learning. I come back again and again to watch these videos as a refresher to deepen my understanding of the concepts. Thanks

Brahma

To be honest,
I love this teacher, throughout my life, I did not see such nice video lectures especially in which video as well as text explanation.

dr.hafizurrahman

Thank you again for this video! Explaining the intuition behind the term "learning" for an ANN really helps beginners like myself! That way, I don't have to guess/figure out what these terms actually mean!

tymothylim

Your visual representations are amazing! Now lots of mathematical stuff are getting meaningful!

nasiksami

Happy i found you, everything looks simple now. Thank you.

niinii

Your way of explanation is really good, I'm so glad I found your channel.

monasaleh

I love you ma'am all the way of Nigeria. Thanks for these videos.
i keep wondering why i didnt get this videos at first. from now on, i promise to refer all my friends here

victoreirekponor

so wait, do we pass cat1 into the model, and that is 1 epoch, or do we pass all the cat images into the model, and that is one epoch, and then we do it again with the same images one more time, so 2 epochs and so on?

matteobarberis

Short, precise and wonderfully explained!
Liked the turtle :) It could be a lizard!

shubhammishra

great overview! I wish I found you guys 5 years ago :)

richarda

Man, I love you please make more videos

omyrazeem

{
"question": "Training a model is centered on optimizing the:",
"choices": [
"Weights in the model",
"Mean-squared loss",
"Cost-to-go estimation",
"Average max-pooling"
],
"answer": "Weights in the model",
"creator": "Chris",
"creationDate": "2019-12-07T03:39:25.881Z"
}

thespam

{
"question": "What will try to optimize the error or difference between the network prediction and the true label of the image?",
"choices": [
"SGD (Stochastic Gradient Descent)",
"The Loss Function",
"Input Data through the network",
"Network Layers"
],
"answer": "SGD (Stochastic Gradient Descent)",
"creator": "Akbarali",
"creationDate": "2021-03-25T03:12:24.243Z"
}

akbaraliotakhanov

Training a neural network? More like "Terrific explanations and visuals; nice work!"

PunmasterSTP

thank you very much for this clear and helpful explanation.

qusayhamad

you are awseome,
i love those videos but if u can post something like a lecture like a hour talking about topics deeply i think it will be great !
i am interested from now

MrGenbu

great series, thanks for them these perfect videos

priyasingh

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