Training a Convolutional Neural Network (CNN)

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Visualizing a convolutional neural network through the training process. Witness the Evolution of a Cutting-Edge Model, From Untrained to Trained, with comparisons at zero, one, five, and 15 Epochs.

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----------- Content -----------
0:00 - Introduction
01:27 - Convolution (5x5x1) | Layer 1
02:05 - Max Pooling | Layer 1
02:25 - Convolutional (3x3x2) | Layer 2
03:17 - Max Pooling | Layer 2
03:39 - Fully connected output layer | Layer 3

----------- Contributions -----------
Intro Music: @randomtypebeats7348

#computervision #convolutionalneuralnetwork #ai #neuralnetwork #artificialintelligence #neuralnetworksexplained #neuralnetworkstutorial #neuralnetworksdemystified #computervisionandai #animation #animationvideo #mathematics #manim #visualization #deeplearning

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Encourage You to continue to make such an amazing content.

ПавлоК-зн

Amazing CNN series, super intuitive and easy to understand!❤

Param

Your video is exactly what I was looking for to understand the interaction between the layers of a neural network, thanks, buddy! :)

wearestarsdust

More amazing content such that will be apprecaited.

DarrabEducation

Keep it up and I really encourage you to make more content! Data science community needs more of such high quality contents!

boramin

rooting for you to make more content! simple and short but very valuable

fiya..

Why this does not have million views man.! so underrated. marvelous work man. I watched all of your videos

al-ihsan-institute

nice video i ever seen in the field of the CNN

ManishKumar-pbgu

Thank you so much for this. In the future, please consider making a video to explain Transformer architecture like for the ChatGPT AI model. Also a little feedback about the little channel introduction video: it's a bit fast and the numbers flash brightly.

HoshRampageZA

This is excellent. Would it be possible to do similar with RNNs?

Democracy_Manifest

Hi, far1din . Your channel is really good. Congratulations !
The invariance of rotation and translation is something magical. Can you make a video about this property?
Hope my suggestion helps your channel!

ruimineiro

I really like your channel, just subscribed. Hope you continue the good work! Also, from a student who is starting to learn about neural networks, it would be really helpful if you put some of your videos in order in a playlist. I am not sure which videos to watch first to build a foundation, then to understand the concepts from different perspectives and finally which are the more "advanced" topics. Hope my suggestion helps your channel!

felipenascimento

Please complete playlist on deep learning

karthikeyanagaraju

Thanks for your excellent tutorials. I am looking for how to calculate the prediction and loss function in CNN but can't find any materials of good clarity. Can you suggest some readings or video or any plan to make one video in the future?

MrCk

I am interested in how you visualized the neurons.

tilakrajchoubey

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