Watch the all time super hit romantic blockbuster of Bollywood 'Maine Pyar Kiya' (1989), starring Salman Khan, Bhagyashree Patwardhan, Laxmikant Berde, Alok Nath, Reema Lagoo, Mohnish Behl. Directed by Sooraj R. Barjatya. Produced by Tarachand Barjatya. Music by Raamlaxman. Singers: Lata Mangeshkar, S.P.Balasubrahmanyam, Shailendra Singh, Usha Mangeshkar, Sharda Sinha.

Synopsis: Everyone falls in love with someone...somehow. One of Indian cinema's biggest hits, Maine Pyar Kiya is the call of two young hearts smitten with love! Prem (Salman Khan) is the son of a multimillionaire, Kishen (Rajiv Verma) and Suman (Bhagyashree) is the daughter of an ordinary motor mechanic, Karan (Alok Nath). When fate brings them together, there develops a mutual liking which soon blossoms into love. Prem and Suman sing and dance, as they dream of a beautiful tomorrow. The dreams seem to be soon turning into reality; Prem's mother is happy to accept Suman as her prospective daughter-in-law. But Kishen, who only knows the language of money, not only injures the loving hearts but also insults Karan, his childhood friend.

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PyData New York City 2017

Slides: https://ericmjl.github.io/baye....sian-deep-learning-d

In this talk, I aim to do two things: demystify deep learning as essentially matrix multiplications with weights learned by gradient descent, and demystify Bayesian deep learning as placing priors on weights. I will then provide PyMC3 and Theano code to illustrate how to construct Bayesian deep nets and visualize uncertainty in their results. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

We're going to learn how to use deep learning to convert an image into the style of an artist that we choose. We'll go over the history of computer generated art, then dive into the details of how this process works and why deep learning does it so well.

Coding challenge for this video:
https://github.com/llSourcell/....How-to-Generate-Art-

Itai's winning code:
https://github.com/etai83/lstm_stock_prediction

Andreas' runner up code:
https://github.com/AndysDeepAb....stractions/How-to-Pr

More learning resources:
https://harishnarayanan.org/wr....iting/artistic-style
https://ml4a.github.io/ml4a/style_transfer/
http://genekogan.com/works/style-transfer/
https://arxiv.org/abs/1508.06576
https://jvns.ca/blog/2017/02/12/neural-style/

Style transfer apps:
http://www.pikazoapp.com/
http://deepart.io/
https://artisto.my.com/
https://prisma-ai.com/

Please subscribe! And like. And comment. That's what keeps me going.

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And please support me on Patreon:
https://www.patreon.com/user?u=3191693

Song at the beginning is called Everyday by Carly Comando
jurassic park inception visualization is from http://www.pyimagesearch.com/2....015/07/06/bat-countr
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Code generated in the video can be downloaded from here: https://github.com/bnsreenu/py....thon_for_microscopis

I share some of the best books for learning neural network or deep learning. I've been learning machine learning/deep learning for the past three years now, these books have all been instrumental throughout.

Book links (in order):
Make Your Own Neural Network by Tariq Rashid (Author)
Neural Networks and Deep Learning by Michael Nielsen (http://neuralnetworksanddeeplearning.com/)
Deep Learning by Ian Goodfellow, Yoshua Bengio & Aaron Courville : https://amzn.to/30UMTGl

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.

Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.

You can find me on:
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Medium - https://medium.com/@bhattbhavesh91

#neuralnetwork #deeplearning #bestbook

*I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel!

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check out Brandon Rohrers video here: https://www.youtube.com/watch?v=ILsA4nyG7I0&t=638s

Become a patreon to support my future content as well as sneak peaks of whats to come.
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Also Checkout my 2nd Channel ( on Trading, Crypto & Investments ) - https://www.youtube.com/channe....l/UChMwVQBFtaOga5Mh0

I am a Banker turned Trader & Machine Learning Engineer | Kaggle Master. Follow me on 🐦 TWITTER: https://twitter.com/rohanpaul_ai - for daily tips on Trading, Crypto & Machine Learning.

Link to Hugging Face Model - https://huggingface.co/EleutherAI/gpt-neo-2.7B

----------------

🚀🔬 Checkout my Generative Adversarial Network (GAN) video course in Gumroad -

7.5 Hours of Course - 6 different GAN Architecture implementations from scratch with #PyTorch

🚀🔬 https://bit.ly/3Ozcf3y

You can find me here:

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#machinelearning #datascience #nlp #textprocessing #kaggle #tensorflow #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #pythonprogramming #python #100DaysOfMLCode