Sir Agent AI please

loving the playlist

1:03:35

20:49

Hi sir data scientist course chahiye please launch

great video

35:43

Sir, Can you please upload the videos for Auto-Encoder, Variational Auto-Encoder and GAEs?

Intutionally I was thinking about the skip connection is that we are just transforming our embedding vector using the matrix multiplication in self attention . may be some time context of sentence captured during this process may be wrong so using skip connection at least we can capture the semantic meaning of the sentence also. Please tell me your response on this if possible?

If college teachers could teach these fundamentals with this much passion...

yes sir very very helpful thanks a lot

I was studying from a 25 hr long course i wont name, but I never got a fundamnetal feeling why we doing this. I felt like I am just a frameworker and just focusing on "get the shut done" . But After studyung from you I always have that homely feeling and sense of satisfaction abnut what i learned. Thank you so muchh sir... I completed ML, DL, NLP playlist from you now on way to pytorch. Jitna bhi kahu thanku kam hai.....

If I ever crack a job in ML, that would be purely because of you, sir.

❤

This is helpful 🖤🤗

Thanks ♥️

🖤🤗

Thanks ♥️

Having this error while starting mysql on xampp Problem detected! 4:17:41 PM [mysql] Port 3306 in use by "Unable to open process"! 4:17:41 PM [mysql] MySQL WILL NOT start without the configured ports free! 4:17:41 PM [mysql] You need to uninstall/disable/reconfigure the blocking application 4:17:41 PM [mysql] or reconfigure MySQL and the Control Panel to listen on a different port Help to solve

Since the target column contains values between 0 to 1 so can we use sigmoid function for output layer?

this is the best

the dataset you have taken 5rows * 33 columns but,shape is 569*33 can you please explain about this

Hello Sir Great videos I am fresher. While explaining in the interview do we need to explain the whole concept with equations or how?

24:53 step 2. (a) 41:54 step 2. (c)

Well explained

bhai kuch samajh nahi aa raha aapabsic se padha sakte ho kya??

Hey sir please make a course of deep learning for NLP that you had talk about earlier in deep learnig cv course. Please make a course on it.

Please make video on GPT and BERT Architecture and how do we fine tune it, please. Amazing playlist.

Is coding also done or not

You are just Wow!! Please do a series of Dynamic programing

276k

hi am unabble to plot the distplot getting error please help me

Thanks you soooooo much sir ❤

Nitish this code is bringing tears in my eyes... so beautiful.

sir one doubt in part 1 when we were using optuna for no_of_hidden_layers and no_of_neurons_per_layer (3, 120 ) was it mean that each layer has 120 neurons but ussually we set like first layer with 512 then 256 then 128... (these neuron is just for refrence) soo my question is like it is a loop hole in optuna

The beats part was fun!🤣

Make more content like this 10 out of 10

Just watched the same lecture from MIT and you covered every aspect of what they taught in way more better way Good to know Indians are competing nation wide

Can we use python ide? And colab?

Can AnyOne tell me is this Complete Playlist (100 days) if yes Any prerequisite to start (i know probability and statics , but not python or its libraries)

pls recommend some research papers.

sir please continue the deep learning and mlops playlist

Yes sir video bht informative lga and clearly everything understand ho rhi thi thanks sir

sir when you use the sequential then how to print the weight and biases corresponding to each layers

In Stochastic Gradient Descent (SGD), weights ( 𝑤 w) and biases ( 𝑏 b) are updated after processing each data row. If the updated 𝑤 w and 𝑏 b after one row lead to convergence for that specific row but cause divergence when applied to the next row, how does the model avoid entering an infinite loop of conflicting updates?

thank u so much sir for this course and your teaching style is awesome

Sir Your explanation is awesome.. 👍

In forget gate the number of layers will be one, whereas the number of neurons will be equal to the size of hidden staye