Mudit Rustagi

Mudit Rustagi

Mudit is experienced in machine learning and deep learning. He is an undergraduate in Mechatronics and worked as a team lead (ML team) for several Projects. He has a strong interest in doing SOTA ML projects and writing blogs on data science and machine learning.
Developers Corner

Guide To Sentiment Analysis Using BERT

Sentiment Analysis (SA)is an amazing application of Text Classification, Natural Language Processing, through which we can analyze a piece of text and know its sentiment.

Developers Corner

Guide To Question-Answering System With T5 Transformer

Question Answering is a classical Natural Language Processing. This is a task involving a question being asked to a system from a set of documents or text and should be able to answer that question.

Developers Corner

Python Guide To Google’s T5 Transformer For Text Summarizer

We will discuss Google AI’s state-of-the-art, T5 transformer which is a text to text transformer model. The gist of the paper is a survey of the existing modern transfer learning techniques used in Natural Language Understanding, proposing a unified framework that will combine all language problems into a text-to-text format.

Developers Corner

How To Implement Intent Recognition With BERT

Intent Classification, or you may say Intent Recognition is the labour of getting a spoken or written text and then classifying it based on what the user wants to achieve

Inflated 3D CNN
Developers Corner

Action Recognition Using Inflated 3D CNN

We all have audienced the fantastic deep learning approaches that have regularly or empirically, demonstrated better than ever success each and every time in learning

YAMNet
Developers Corner

Guide to YAMNet : Sound Event Classifier

Transfer Learning is a well-liked and popular machine learning technique in which one can train a model by reusing information learned from a previously existing

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