Комментарии:
Hi
What VS Code theme are you using?
How long does this take to train on a CPU and how can I optimise the code for it to train faster when using CPU?
ОтветитьInstead of printing the epoch loss, didn't you print the loss of the last batch of the epoch ?
ОтветитьCould this be used to bypass Robot image validation ?
ОтветитьSir, Which document you read to write this code?
ОтветитьThis dude is an irl character from bigmouth
ОтветитьWow
Ответитьoohh my God you made proud and happy you build my confidence brother @ Nicholas I can't stop laugh for your celebration
ОтветитьI like this
ОтветитьTell how to build my machine ! I want to setup just like you have.
ОтветитьWhat does this Neural Net actually do though?
ОтветитьThe amount of calculating a Terminator has to do just to work out if someones boots, clothes and motorcycle will do him is wild lol.
ОтветитьIs the tensor mathematics involved in neural networks the same as the tensor mathematics invented by Albert Einstein for his work on general relativity?
Ответитьone question i have is why did u not defined your yhat as clf.predict(x) instead you took only clf(x)
Ответитьi have way more detailed images that are 128x128 and my NN is really bad at predicting, any tips what i should try to adjust besides the learnign rate?
ОтветитьGuys, what is the one-word adjective for “daunting and beautiful”?🤔 - One of the reasons that brought me into Data Science is that the field can really be intimidating - and also beautiful - when you watch videos like this💁🏾♂️
Ответитьlove from india and i am so happy
Ответитьpreety amazing and big fan bro
ОтветитьGlad you got it deploy. No one seems to get that far
ОтветитьGreat explanation of all that is need in 15 min. Keep up the good work, your tutorials are a great help to DS community.
ОтветитьHey nice video yaar! How did you learn the maths = stride subtraction and all.... It would be great if someone give some reference
ОтветитьCan this model detect Captcha ????
ОтветитьThis is the longest 15 min ever in my life
ОтветитьHey, i might have to take this format for my live streams…. Subscribed good sir
ОтветитьYou have no pooling layers
ОтветитьAwesome 😆
ОтветитьThat was incredible! thank you so much for making it look so easy to implement. you are great!
Ответитьgreat video and amazing coding!!
ОтветитьYo! that is EPIC!
Super intense! and SUPER helpful! thank you so much for sharing, this is giving me hope for my ML project for sure!
And yes, I TOTALLY take this as a Win.
Amazing job!
This is what I exactly wanted.. Awesome stuff!!
ОтветитьHi mate, I'm using the CPU, what should I type on line 57?
Ответитьit throws a runtime error
ОтветитьWhy sometimes in accuracy, loss or whatever, one of these.. weird letters are present? Like a big number 0.12202020202-e545. Is it a problem? I found that to be confusing when predicting cause then the model inaccuratly predicts for some reason. Or perhaps it's not a problem and I just can't do simply "if accuracy > 0.5" in that case and THAT's the issue
ОтветитьNicholas, what monitors do you use there for coding? your workplace looks fantastic !!
ОтветитьAwesome Broo!!!😱
ОтветитьVery nice content, congratulations !!!!
ОтветитьIf this were not a rushed challenge but a proper tutorial explained a bit more calmly, it would be pure gold
ОтветитьGod level
Ответитьhey if you eve want to do a race id be down for a challenge
Ответитьhello bro...how to install pytorch in windows 11 or any alternate apk
ОтветитьSkillz !!!
ОтветитьNice. The loss is increasing after the 3rd epoch. Is it good sign or bad ?
ОтветитьFrom my experience, building a neural network in Pytorch is easier than using cancerous Tensorflow.
ОтветитьSuper underrated .. Amazing explanation during challenge !!!!
ОтветитьHi Nicholas I started following your channel after your series on siamese network. Like this can we build multiple language OCR for example in a sentence there is english, hindi and german together written the classifier translate them all together and give us the result in the required language
ОтветитьAmazing bro love the way teach
ОтветитьThis is a good teaching!!! you are great!!!
Ответить