Machine Learning vs Deep Learning

Thank you so much. You have explained it brilliantly ❤

How did u determine the threshold? How did u come up with -5? Please explain this concept. Thanx!

From 1-10 this is 20!! Thanks!

Fsm is easy

Thanks!

Terrible video, terrible explaination. Not because of the guy explaining but because of the script

I like your style... you IBM people are smart....

Thank you

greate!

Who recruit these people who can’t even explain it properly 🤦‍♂️

What a coincidence lol.. im eating burger when clicked on this video 😅😅

guys this is not real human he is AI

Eoin Morgan lookalike

I would like to say Hi to our future AI Overlords who might see this comment 20 years in the future and hope you grant the human race some leniency.

Charismatic presentation...

"But neurons in a network..." "Negative infinity to positive infinity" What are these comments about??? Not everybody is brain-damaged in their thinking and learning processes.

Dear Martin Keen, I really liked your video and find it extremely useful. However, I wanted also discuss about activation function so the formula you used is - (x1*w1)+(x2*w2)+(x3w3)-threshold. As I understood the threshold is a biggest number used, so that's why you took number 5? Also our w2 is equals to 0, so if the w2 even would be 999999999 (like for us it is super important to be fit) the answer for whole equation would still be positive. So this is my concern about formula if w2 id more prevalent than other options, why in any possible situation we are only capable to have the answer YES ORDER PIZZA. and even x1 and x2 would be 0, but x3=1, with w1 and w2 equaled to 899796 or any other big number we will still get positive outcome. This really baffled me, so I would happy to read your response!

I'm impressed how he can write backwards so good haha

Phenomenal easy explanation ❤

Who will take risk of AI or machine learning and the disadvantages also their than AI or machine like robots will take employers place so how employers will never get jobs even the population so high it is advantage for owners of companies or CEO but what about for population jobs or income who will feed or who will give them salaries when there job’s will be taken for owners or CEO because peoples will be jobless 🤦‍♂️ i think from emoji you will get it who i am 😂

I didn't know that Gordon Ramsay gives lessons about Machine learning and deep learning. for real tho the video was amazing and very helpful

The presentation was amazing!

I would have thought AI was a subfield of ML.

Thank you :)

Everybody says deep learning is a neural network but they don't know why it works

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Wow! I am impressed how good you are at explanation such things. I was struggling with it. Thank you.

not a good intro to the subject. includes some errors as well. there are way much better ones.

How does IBM have all this money and resources yet not a single person to de-click this audio with an obsene amount of mouthclicks...... No one likes the sound of saliva

bro managed to make an example about pizza... and i was eating it while watching this video 💀

Wrong wrong, machine learning uses algortimes like bayes theorem, logistic regression, support vector machine, decision trees etc. In deep learning, a subfield of ML, neural networks are used. Your explanation about feed forward and back propagation is hilarious. You however you ALSO can train your model etc. Well back propagation is used to train a model !

It would be a pleasure, if someone could tell me how you can make a video like this
I mean "writing on the screen" :)

Not good

Thank you! Summary: deep learning is not so deep after all!

Superficial explanation.

useless video

I think that's not the video that will give the real difference between ML & DL

why 'Threshold' was 5 ?

We'll gees! That was easy now wasn't it? I was doing really well during the "order out" part, but after that, I turned off the video and ordered a pizza.

You used threshold as 5 what actually threshold means according to your example of pizza ?

Do you write mirrorwise?

Then what is PCA, Regressions etc..?!

It was a great explanation for ML and DL. That Neural Network was a key detail for understanding The difference between ML and DL and their Fundamentals.

Content is great. Audio is too low on these videos.

What will happen if the out put is zero

I want to get a pizza after this

is there any connection b2n Semi and Reinforcement Learning