Adit Deshpande

Adit Deshpande is currently a second year undergraduate student majoring in computer science and minoring in Bioinformatics at UCLA. He is passionate about applying his knowledge of machine learning and computer vision to areas in healthcare where better solutions can be engineered for doctors and patients.

How I Used Deep Learning To Train A Chatbot To Talk Like Me

By Adit Deshpande, UCLA on August 8, 2017 in Chatbot, Deep Learning
In this post, we’ll be looking at how we can use a deep learning model to train a chatbot on my past social media conversations in hope of getting the chatbot to respond to messages the way that I would.
Applying Machine Learning To March Madness

By Adit Deshpande, UCLA on March 16, 2017 in Basketball, Machine Learning, March Madness
March Madness is upon us. But before you get your brackets set, check out this overview of using machine learning to do the heavy lifting for you. A great discussion, and a timely topic.
Deep Learning Research Review: Natural Language Processing

By Adit Deshpande, UCLA on January 31, 2017 in Deep Learning, Natural Language Processing, Neural Networks, NLP
This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you.
Deep Learning Research Review: Reinforcement Learning

By Adit Deshpande, UCLA on November 25, 2016 in Deep Learning, Machine Learning, Reinforcement Learning
This edition of Deep Learning Research Review explains recent research papers in Reinforcement Learning (RL). If you don't have the time to read the top papers yourself, or need an overview of RL in general, this post has you covered.
Deep Learning Research Review: Generative Adversarial Nets

By Adit Deshpande, UCLA on October 31, 2016 in Deep Learning, Generative Adversarial Network, Research
This edition of Deep Learning Research Review explains recent research papers in the deep learning subfield of Generative Adversarial Networks. Don't have time to read some of the top papers? Get the overview here.
9 Key Deep Learning Papers, Explained

By Adit Deshpande, UCLA on September 20, 2016 in Academics, Deep Learning, Explained, Neural Networks
If you are interested in understanding the current state of deep learning, this post outlines and thoroughly summarizes 9 of the most influential contemporary papers in the field.
A Beginner’s Guide To Understanding Convolutional Neural Networks Part 2

By Adit Deshpande, UCLA on September 8, 2016 in Beginners, Convolutional Neural Networks, Deep Learning, Neural Networks
This is the second part of a thorough introductory treatment of convolutional neural networks. Have a look after reading the first part.
A Beginner’s Guide To Understanding Convolutional Neural Networks Part 1

By Adit Deshpande, UCLA on September 6, 2016 in Beginners, Convolutional Neural Networks, Deep Learning, Neural Networks
Interested in better understanding convolutional neural networks? Check out this first part of a very comprehensive overview of the topic.

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