Great work mate

Blah blah blah

🫡

Good stuff! Thanks, Sunny

your screen content not visible clearly which loose interest in ourselves.

Make a video on low light image enhancement using deep learning based trained network in matlab

You know the video will be good, if there is an Indian accent and bad audio quality! Thx it really helped me :)

Wow thank you so much... even after completing matlab onramp course in Deep learning, i am not confident in training my network... now i will start working and write you my results... thank you so much....

How can I use gTruth labels created using matlab labeling app for train a CNN network????

I hope you will show a hands on practice to create a MLLM in the upcoming session. Anyway, I would request you to share the machine, gpu configuration for the MLLM experiment

Please, when showing the papers, pause for a moment to display the prompts used, especially the ones you found interesting, as some of us utilize these prompts to improve our own.

Very good explanations. Please continue!

thanks for your help in sorting through the AI papers. I subscribed straight away ! !

Great and very clear explanation on Matlab dlarray

Sir can you tell me the mathematica command to estimate Energy Momentum tensor with the help of action integral.

Thanks for sharing our paper!

The audio is too quiet. -10x standard YT video.

Hey. This is really informative. Cleared so may doubts I had.

Thanks for this video. I copied your exact code into my Matlab, but when I press run, it doesn't give me the rendered window. could you help me with this?

It helps, thanks😀

top notch illustration

Help me, I am trying to implement with spreadsheet datastore. Are you able to do a short video?🙋

thank you❤,the video is awesome!

Thanks for the explanation !

Thank you so much for such an incredible playlist! I have learned a lot from these videos, and it solved quite a big dilemma I've been in! I greatly appreciate it!

Hello Sir, thank for your illustrative video, How about the creation of dataStore with two inputs and one output ? Please kindly answer me

I have failed to install those networks from the Add-ons, I need help

Short and easy to understand😍😍 Thank you so much

Can this compute second derivatives?

excellent work

wonderful video. Thank you for making this so easy to understand. Appreciate it!

Can you explain how to use torch.autograd.Function to define forward and backward methods and then use that in nn.Module?

thx bro!

how does pytorch implement backpropagation? Is it just too smart and it does it for you?

If you don’t zero out the gradients, and you don’t update the weights does that mean you can run all your minibatches, then update once, and that would be equivalent to running all the training data as a single batch?

saa WE LET IT ALL SLIP AWAY

at 1:35 the metric is in contr-var or co-var?

The following error message is coming: type conversion error occurs when training is started: "Conversion of Python element at position 1 to type ‘double’ failed....

great vid

what up!!!1

Excellent step by step intro... much better than anything on matlab website.

I am puzzled as to how more people haven't watched this video and channel.

Hey, How I contact with you?

Hi your videos are really great - they have help me understand thing better since I have been on the deep learning journey I am going through your code - Lesson 6 Video and trying to rescript it exactly to enhance, I am getting this error: Error using fread invalid file identifier. Use fopen to generate a valid file name Error in handwrittenDigi_Bruteforce>load_img (line 19) here is the scrpit flow line 10: Xtrain = load_img(filenameLabelsTrain); // call to function load_img line 19: magic = fread(fileID,1,'int32',0,'b') What am I overlooking? It also looks like the dataset download link needs password

Please tell me what are the appropriate computer specifications for deep learning and machine learning ? Please answer

@21:55 It should be across the first batch but you have said it is across the first channel.Minor corrections but overall its a great video.Thanks

Sir, Can you explain the loss function too; What is the loss curve represents

Great teaching. Thank you for these wonderful lessons.

The best Deep learning video series, I came across. Thank you

Thanks, please do more videos on Halide ..