Image Classification using CNN from Scratch in Pytorch- Part 1 Training

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This explained the CNN model and the coding so well. I have been trying to find a video like this for ages. Thank you so

jazminemei

after learning pytorch this was the only video with practical implementation .. Great video man

aniketwagh

A bug that I couldn't find the whole night got resolved after watching this video. Thanks a ton!!

TheEverydayAnalyst

This is the most detailed and clear explanation one could have asked for.

anushkaagarwal

Thank you so much for a detailed run-through on the shape of each layer!

hyunsukko

Very very well explained.. Please keep up doing such great contents.

dhanyams

Best explanation ever, almost like cheating lol, given my months of studying this stuff

africandawahrevival

If you're a newbie like me, practicing on a low-end Graphic card, following this video exactly, but found:
"RuntimeError: CUDA error: out of memory”
Reduce the batch_size in your train_load and test_loade.
I downsize the batch_size to 64 to get it run without error.

claricelee

I do not care about other I like and subscribed because your video is very good

rannvijaysingh

Thank you so much for this tutorial. Ive been looking for something like this for ages. Please do more videos like this. Kindly add automatic subtitles. Could you please do a tutorial on video object detection using pytorch?

samathapsalim

awesome video man! you really helped me with my struggle with pytorch, thank you so much!

deanhudek

Interesting, really understand convolution

elyseemanimpiregasanaelyse

Thank you so much for the video. This helped me a lot

sheaikhnazib

I was looking exactly for this, thanks much man :)

manishsharma

Thanks for making this amazing video, it would be better if you add the automatic subtitle.

东奕汐

You are best. It is really helpful. Thanks brother.

tanishqsirohi

Amazing explaination. could you please make for RNNs, LSTMs, GANs, VAEs and Transformers ?

teetanrobotics

very informative video. can you do another video for image classification using historical weather(LSTM) data and images (CNN).one neural network with two branches.

kinlanac

Hi, thank you for this awesome video. I would like to ask if I can run this model on the RPI4 and have my interference through the RPI?

kyledpimentel

How did he know what kind of network with how many layers, kernels, strides etc he has to create?
I mean I have been told that its trial based, but there should be some basis or foundation.

finding-framework

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