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ML Can Now Train For English And Get Better At Japanese Too

The black cat has crossed the road — this sentence might sound simple but when you try to translate it to native languages, all the historical inferences and semantic sophistications come into play. For some feline lover, that sentence might…

Why You Should Try Model Agnostic Solutions When The Data Is Vague

When it comes to performing few-shot learning tasks, deep neural nets fail to live up to their expectation. Because in a few-shot learning task, the classifier has to make generalisation after every few examples from each class. Meta-learning came into…

Revenge Of The Humans: Why Open AI Five Could Not Win The Dota 2 Championship

The International, which is the FIFA of Dota 2, a complex battle arena game, had an artificial intelligence system compete with professional players in the 2018 tournament. Earlier this August, an AI player called Five, created by OpenAI, failed to…

Meet Juergen Schmidhuber — The Father Of LSTM, An Outsider In The World Of Deep Learning

One of AI’s pioneers, Juergen Schmidhuber’s pursuit with Artificial General Intelligence is well-known. His most notable contribution to the world of Deep Learning — Long Short Term Memory (LSTM), now used by tech heavyweights like Google, Facebook for speech translation.…

Choosing Between GAN Or Encoder Decoder Architecture For ML Applications Is Like Comparing Apples To Oranges

Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons and their networks in the brain. Computational algorithms often mimic and…

How Deep Learning Changed The Game For Natural Language Processing

A lot has been written about how deep learning is perfect for natural language understanding. In this article, we will explore why deep learning is uniquely suited to NLP and how deep learning algorithms are giving state-of-the-art results in a…

The Way Computers Use Memory Is Being Optimised Using Neural Networks. Here’s How

  We know this for a fact that Moore’s Law does does not stand true anymore. Our computation requirement far exceeds what is available right now. There has been an explosion in the complexity and requirements of modern computing, especially…

Overview of Recurrent Neural Networks And Their Applications

Recurrent Neural Networks are one of the most common Neural Networks used in Natural Language Processing because of its promising results. The applications of RNN in language models consist of two main approaches. We can either make the model predict…

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