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Movie Starts At 02:35

Destiny throws aspiring fashion designer Sia (Neha Dhupia) and television producer Raj (Sonu Sood) together during a chance encounter. He boosts Sia's career using his many connections. While Sia's designs get international attention, the pair start an intense romance, but not without their share of complications and misunderstandings. Time will tell if they can withstand what's in store for them.

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RAKSHAKA Full Movie is now available on Kannada Filmnagar. #Rakshaka is the latest super hit Kannada Dubbed movie starring Super Star Mahesh Babu, Tamannah Bhatia, Sonu Sood and others in the lead roles. The movie is directed by Srinu Vaitla and produced by Ram Achanta, Gopichand Achanta and Anil Sunkara. The music was composed by Thaman and DOP by K. V. Guhan. For more Latest Kannada Movie News, Celebs Updates & Sandalwood Updates stay tuned to #KannadaFilmnagar - http://bit.ly/38BJpx8.

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Synopsis: Encounter ​specialist ​Shankar (Mahesh Babu) is posted to a small town called Bukkapattanam. The entire area is dominated by a ​dreaded don called Damodar (Sonu Sood),​ who runs illegal businesses by threatening the poor. Shankar decides to take ​things in his hands, and starts ​planning ​Damodar’s decline. ​Midway through, he comes to know a shocking truth about Damodar, which relates back to his family.
What is that truth? How does Shankar manage to destroy Damodar​ and his empire ? and Where do Saroja(Tamannah) and Delhi Suri(Brahmanandam) fit in this entire set-up?. To know the answers to all these questions, you need to watch the film on a big screen.

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SHIRDI SAI FULL MOVIE HD | Nagarjuna | Kamalinee Mukherjee | Latest Kannada Dubbed Movies | KFN - https://youtu.be/2LzUpFnrxOk

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In this video I show you 10 common Pytorch mistakes and by avoiding these you will save a lot time on debugging models. This was inspired by a tweet by Andrej Karpathy and that's why I said it was approved by him :)

Andrej Karpathy Tweet:
https://twitter.com/karpathy/s....tatus/10132443133276

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
0:21 - 1. Didn't overfit batch
2:45 - 2. Forgot toggle train/eval
4:47 - 3. Forgot .zero_grad()
6:15 - 4. Softmax when using CrossEntropy
8:09 - 5. Bias term with BatchNorm
9:54 - 6. Using view as permute
12:10 - 7. Incorrect Data Augmentation
14:19 - 8. Not Shuffling Data
15:28 - 9. Not Normalizing Data
17:28 - 10. Not Clipping Gradients
18:40 - Which ones did I miss?