Paanipat 8k Ultra Hd Movie ｜ Bollywood New Movie ｜ Sanjay Dutt, Kriti Sanon, Arjun Kapoor

In this video we go through how to code the ResNet model and in particular ResNet50, ResNet101, ResNet152 from scratch using Pytorch.

ResNet Paper:
https://arxiv.org/abs/1512.03385


People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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OUTLINE:
0:00 - Introduction
0:31 - Overview of the ResNet paper
6:40 - Coding ResNet

Listen to Bhool Bhulaiyaa 2 Title Track: https://youtu.be/J1rOfVst-EQ

Gulshan Kumar & T-Series Presents Bollywood movie "Bhool Bhulaiyaa" featuring Akshay Kumar, Vidya Balan, Ameesha Patel and Shiney Ahuja in pivotal roles with Paresh Rawal and Rajpal Yadav in supporting roles. Directed by Priyadarshan, produced by Bhushan Kumar and Krishan Kumar, composed by Pritam, lyrics are penned by Sameer.

Movie Credits:
Movie Name: Bhool Bhulaiyaa
Artists: Akshay Kumar, Vidya Balan, Ameesha Patel, Shiney Ahuja, Paresh Rawal, Rajpal Yadav
Produced by Bhushan Kumar and Krishan Kumar
Directed by Priyadarshan
Music: Pritam
Lyrics: Sameer
Music Label: T-Series
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Welcome to The ALT Code!

Kaggle image dataset used in the video: https://www.kaggle.com/c/carva....na-image-masking-cha

Aladdin Persson viedeo about UNET: https://youtu.be/oLvmLJkmXuc

In this video I build the UNET neural network architecture and use it for image segmentation in the Carvana Kaggle competition. Unfortunately, I couldn't train the model due to some tensorflow bugs, but I'll try to solve them and show you the result in an upcoming video. If you have any recommendation or advice leave it in the comments and I will gladly read it.

Video sections:
00:00 Intro
02:03 Start coding
04:25 Problems and bugs
05:24 Building nn architecture
09:24 More problems and bugs (same)

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