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Developing a good ML/AI based product is a hell lot more than just a state-of-the-art model. This is my attempt to help you out & look beyond the models because it's just an idea that all you need 💡
1. The Past Expectation It is vital to understand the past responsibility to adapt to the current expectation of the industry. The AI space was still relatively new (though not in academics) and many companies, startups were analyzing its applicati...
A complete step-by-step guide for building a Docker image (GPU or CPU) along with explaining all best practices that should be followed which will be
Models based on Transformers are the current sensation of the world of NLP. Hugging Face’s Transformers library provides all SOTA models (like BERT, GPT2, RoBERTa, etc) to be used with TF 2.0 and this blog aims to show its interface and APIs 0. Disc...
This tutorial will help you to build a ResNet model with any desired no of depth/layer from scratch ResNet has been always one of my favourite architecture and I have used its core idea of skip connection many times. It is now fairly old as both Res...
The right path to building a full-stack machine learning system. MLOps is the new emerging practice to streamline managing the ML lifecycle.
