Video

What about differentiating all English words based on parts of speech? Like we normal humans do l, and then training a model to understand how the parts of speeches for together to form a sentence?

It is a great explanation of Multi head attention.

Very nice video

Thank you Sir, I have watched many videos of GD, including Andrew NG, Krish Naik and many more but did not completely understand this topic, but these video clear my mind. Thanks and love from Afghanistan ❤

Can I watch this even though I m a beginner?

fr maza aagya ekdm

Thank you for this extraordinary explanation. It makes the topic very very easy to understand.

This explanation is of next level.

You explained every topic with so much of clarity and easy way to understand.

Amazing series on DL

CONGRATS SIR. YOUR SON/DAUGHTER HAS GOT A VERY GOOD MENTOR FOR LIFE

amazing lectureeeeeeee

easyy thankssss

Getting two prices for the deep learning with python book....one is 400 to 700.......and its saying thensecond edition is for around 5000......whicn is like too much

very very thanks sir ,god bless you

GOAT!!!!!!!!!!!!!!!!!!

model.fit(train_generator, batch_size=32, epochs=10, validation_data=test_generator) For this line, I'm getting the error:- TypeError: `output_signature` must contain objects that are subclass of `tf.TypeSpec` but found <class 'list'> which is not. please look into this error , i have treid searching on google and stackoverflow for solution but chould not found anything. please help

dataset changed from last video to this video

good hands on learning

22:25 unit^2

incredible

hooray

be my mentor sir all other 9 mistake ill cover .

SIR WHEN WILL U TEACH RESIDUAL CONNECTION?

How can anyone be so good at teaching. have got addicted to this channel.

How to run it in web browser

Thank you for the quality content

9:40 WHY ASSUME SIR YOU COULD HAVE TAKEN AN EXAMPLE YOU DIDS WRONG SIRJIIIII

if the difference in (yi - y^i) is in decimals, then the loss value is diminished and not magnified, so maybe a novelty would be take this into account.

6:57 SIR AAPNE GALAT KARA YOU DIDS WRONG SIR

completed . Amazing Content😄

LeNet should have 3 convolution layers C1,C3,C5 but you did 2 layers is both are same?? C1 Convolutional 28x28x6 tanh S2 Average Pooling 14x14x6 tanh C3 Convolutional 10x10x16 tanh S4 Average Pooling 5x5x16 tanh C5 Convolutional 1x1x120 tanh F6 Fully Connected 84 tanh Output Fully Connected 10 Softmax

Sir next video ❤❤

Bro what a way to explain. Hats off!

But can you tell how can same RNN model can retrained with more data?

Everything you are doing for the community is great . Thank you for the video 😊.

binary value of 3 is o11

such a nice explanation. you made this topic so easy. you are an amazing teacher. Please don't stop teaching us

living legend

what a lecture

amazing ❤❤❤

awesome

superb explaination bro, hatsoff

Thank you SIr

👍🏻

Awesome

is it beginer friendly is yes do comment kindly