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adeshpande3.github.io

Adit Deshpande – CS Undergrad at UCLA ('19)

CS Undergrad at UCLA ('19)

http://adeshpande3.github.io/

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Adit Deshpande – CS Undergrad at UCLA ('19) | adeshpande3.github.io Reviews

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CS Undergrad at UCLA ('19)

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Adit Deshpande – CS Undergrad at UCLA ('19)

https://adeshpande3.github.io/adeshpande3.github.io/projects

CS Undergrad at UCLA ('19). IPython Tensorflow Notebook Tutorials. Convolutional Neural Network Tutorial. This notebook shows you how to define a simple convolutional network using Tensorflow. We’ll discuss how to load in datasets, how to create our network architecture using Tensorflow variables, as well as how to define loss functions and optimizers. Generative Adversarial Network Tutorial. March Madness 2017 Bracket Predictor Model. STILL IN PROGRESS *. MLB Win Predictor Linear Regression Model.

2

Analyzing The Papers Behind Facebook's Computer Vision Approach – Adit Deshpande – CS Undergrad at UCLA ('19)

https://adeshpande3.github.io/adeshpande3.github.io/Analyzing-the-Papers-Behind-Facebook's-Computer-Vision-Approach

CS Undergrad at UCLA ('19). Analyzing The Papers Behind Facebook's Computer Vision Approach. You know that company called Facebook? Yeah, the one that has 1.6 billion. People hooked on their website. Take all of the happy birthday posts, embarrassing pictures of you as a little kid, that one family relative that likes. Single one of your statuses, and you have a whole lot of data to analyze. The network was pre-trained for classification on ImageNet (Transfer Learning works. Use it). The image is...The o...

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About – Adit Deshpande – CS Undergrad at UCLA ('19)

https://adeshpande3.github.io/adeshpande3.github.io/about

CS Undergrad at UCLA ('19). I’m a second year undergraduate student currently studying at UCLA. I’m majoring in computer science while also pursuing a minor in Bioinformatics. I’ve had two research internships in my career, one at Boston University and one at the U.S Naval Research Laboratory in Washington D.C. For information about side projects I’ve done (neural nets, reinforcement learning, Kaggle stuff, sports, etc), check out my github. Actively looking for an internship in the summer of 2017.

4

A Beginner's Guide To Understanding Convolutional Neural Networks Part 2 – Adit Deshpande – CS Undergrad at UCLA ('19)

https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks-Part-2

CS Undergrad at UCLA ('19). A Beginner's Guide To Understanding Convolutional Neural Networks Part 2. Link to Part 1. In this post, we’ll go into a lot more of the specifics of ConvNets. Disclaimer:. Now, I do realize that some of these topics are quite complex and could be made in whole posts by themselves. In an effort to remain concise yet retain comprehensiveness, I will provide links to research papers where the topic is explained in more detail. Same old, same old, right? Now, let’s take a lo...

5

The 9 Deep Learning Papers You Need To Know About &#40&#85nderstanding C&#78&#78s Part 3&#41 – Adit Deshpande – CS Undergrad at UCLA ('19)

https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html

CS Undergrad at UCLA ('19). The 9 Deep Learning Papers You Need To Know About &#40&#85nderstanding C&#78&#78s Part 3&#41. Link to Part 1. Link to Part 2. The one that started it all (Though some may say that Yann LeCun’s paper. Trained the network on ImageNet data, which contained over 15 million annotated images from a total of over 22,000 categories. Used ReLU for the nonlinearity functions (Found to decrease training time as ReLUs are several times faster than the conventional tanh function). The neur...

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Adit Deshpande – CS Undergrad at UCLA ('19)

CS Undergrad at UCLA ('19). Deep Learning Research Review Week 3&#58 Natural Language Processing. An introduction to applying Deep Learning to Natural Language Processing tasks. Deep Learning Research Review Week 2&#58 Reinforcement Learning. An introduction to Reinforcement Learning and a look of two of the most important papers. Deep Learning Research Review Week 1&#58 Generative Adversarial Nets. 3 recent papers that are built on generative adversarial nets. Don't worry, it's easier than it looks.

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ARNAVA

सागर सी गहराई हो. पर्वत सी ऊँचाई हो. रोम - रोम में खुशहाली हो. हर दिल में सच्चाई हो. सोमवार, 28 जुलाई 2014. सत्ता के लोलुप लोगों के , क्या विचार हैं आप देखिये. मर्यादाओं का चीर हरण ,करते यह तार तार देखिये. कौन भला है ,कौन बुरा है ,सब तो हैं चट्टे - बट्टे ,. भाई को भाई से मरवाने ,का करते व्यापार देखिये. प्रस्तुतकर्ता. आदेश कुमार पंकज. कोई टिप्पणी नहीं:. आदमी को आदमी से , प्यार होना चाहिए. हर भवन की नींव का , आधार होना चाहिए. प्रस्तुतकर्ता. आदेश कुमार पंकज. प्रस्तुतकर्ता. रविवार, 11 मई 2014. अभी त&#2...

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