Комментарии:
Thank you so much. You have explained it brilliantly ❤
ОтветитьHow did u determine the threshold? How did u come up with -5? Please explain this concept. Thanx!
ОтветитьFrom 1-10 this is 20!! Thanks!
ОтветитьFsm is easy
ОтветитьThanks!
ОтветитьTerrible video, terrible explaination. Not because of the guy explaining but because of the script
ОтветитьI like your style... you IBM people are smart....
ОтветитьThank you
Ответитьgreate!
ОтветитьWho recruit these people who can’t even explain it properly 🤦♂️
ОтветитьWhat a coincidence lol.. im eating burger when clicked on this video 😅😅
Ответитьguys this is not real human he is AI
ОтветитьEoin Morgan lookalike
ОтветитьI 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.
ОтветитьCharismatic presentation...
Ответить"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.
ОтветитьDear 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!
ОтветитьI'm impressed how he can write backwards so good haha
ОтветитьPhenomenal easy explanation ❤
ОтветитьWho 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 😂
ОтветитьI didn't know that Gordon Ramsay gives lessons about Machine learning and deep learning. for real tho the video was amazing and very helpful
ОтветитьThe presentation was amazing!
ОтветитьI would have thought AI was a subfield of ML.
ОтветитьThank you :)
ОтветитьEverybody says deep learning is a neural network but they don't know why it works
Ответить????????????????????????????????????????????????????
ОтветитьWow! I am impressed how good you are at explanation such things. I was struggling with it. Thank you.
Ответитьnot a good intro to the subject. includes some errors as well. there are way much better ones.
ОтветитьHow 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
Ответитьbro managed to make an example about pizza... and i was eating it while watching this video 💀
ОтветитьWrong 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 !
ОтветитьIt 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
ОтветитьThank you! Summary: deep learning is not so deep after all!
ОтветитьSuperficial explanation.
Ответитьuseless video
ОтветитьI think that's not the video that will give the real difference between ML & DL
Ответитьwhy 'Threshold' was 5 ?
ОтветитьWe'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.
ОтветитьYou used threshold as 5 what actually threshold means according to your example of pizza ?
ОтветитьDo you write mirrorwise?
ОтветитьThen what is PCA, Regressions etc..?!
ОтветитьIt 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.
ОтветитьContent is great. Audio is too low on these videos.
ОтветитьWhat will happen if the out put is zero
ОтветитьI want to get a pizza after this
Ответитьis there any connection b2n Semi and Reinforcement Learning
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