Top 10 Deep Learning Researchers Who Are Re-defining Its Application Areas

Top 10 Deep Learning Researchers Who Are Re-defining Its Application Areas

Top 10 Deep Learning Researchers Who Are Re-defining Its Application Areas. In this article, we list ten deep learning researchers, in no particular order, who are re-defining the application areas of deep learning.

Most of the recently trending technologies such as BERT, GPT-3, Transformers, LSTM, GANs and others have deep learning at the core. These deep learning-based applications are transforming many industries such as self-driving, language translation, fraud detection and more. The researchers in the field of deep learning are contributing immensely to bring some fantastic applications in the field. In this article, we list ten deep learning researchers, in no particular order, who are re-defining the application areas of deep learning. 

Geoffrey Hinton

A pioneer in deep learning and machine learning-based research, Hinton’s work is aimed at finding complex structure in large, high-dimensional datasets, and understanding how the brain learns to see. He popularised the back-propagation algorithm for training multi-layer neural networks, along with David Rumelhart and Ronald J. Williams. He also contributed to Boltzmann machines, variational learning, time-delay neural-nets, and more. Often called the “Godfather of Deep Learning”, many leading deep learning researchers of recent times have apprenticed under his guidance. He received the 2018 Turing Award alongside Yoshua Bengio and Yann LeCun for their work on deep learning. He currently works at Google Brain along with teaching at the University of Toronto.e.

deep learning

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