2 min

Pilot Paper In A Nutshell

    • Technology

Hello everyone! Welcome to the pilot episode of my podcast “Paper In A Nutshell”. My name is Debayan Bhattacharya, a master student at Techniche Üniversität Hamburg. I have more than 2 years of programming experience and another 2 years of experience in the field of deep learning. The core of my research is Deep Learning and Artificial Intelligence for Computer Vision Applications.

I have read a lot of research papers in Deep Learning ranging from Convolutional Networks to Natural Language Processing. One thing which I have always wanted is an explanation of difficult papers in simple terms. This podcast is especially for that. I will take one paper and break it down to its core ideas.I believe that unless you can explain complex ideas in clean and simple terms, you have not clearly understood the idea in the first place. Furthermore, extrapolation of simple ideas to real world scenarios leads to breakthroughs in technology. I hope through my podcasts I can do some “transfer learning” from my brain to yours.

Apart from that, I am genuinely fascinated by this amazing field of Deep Learning.
Artificial Intelligence is all around us. It is changing the very way we interact with machines.
We are surrounded by countless machines trying to recommend to us what food we want to eat, what movie we want to watch, what should we buy next and so on. Therefore, it is imperative that we understand the algorithms that power these predictions.
I believe that we can do tremendous good to the world if we consciously build technology that helps mankind.

Thank you all! I will see you in the first episode!

Hello everyone! Welcome to the pilot episode of my podcast “Paper In A Nutshell”. My name is Debayan Bhattacharya, a master student at Techniche Üniversität Hamburg. I have more than 2 years of programming experience and another 2 years of experience in the field of deep learning. The core of my research is Deep Learning and Artificial Intelligence for Computer Vision Applications.

I have read a lot of research papers in Deep Learning ranging from Convolutional Networks to Natural Language Processing. One thing which I have always wanted is an explanation of difficult papers in simple terms. This podcast is especially for that. I will take one paper and break it down to its core ideas.I believe that unless you can explain complex ideas in clean and simple terms, you have not clearly understood the idea in the first place. Furthermore, extrapolation of simple ideas to real world scenarios leads to breakthroughs in technology. I hope through my podcasts I can do some “transfer learning” from my brain to yours.

Apart from that, I am genuinely fascinated by this amazing field of Deep Learning.
Artificial Intelligence is all around us. It is changing the very way we interact with machines.
We are surrounded by countless machines trying to recommend to us what food we want to eat, what movie we want to watch, what should we buy next and so on. Therefore, it is imperative that we understand the algorithms that power these predictions.
I believe that we can do tremendous good to the world if we consciously build technology that helps mankind.

Thank you all! I will see you in the first episode!

2 min

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