Decoding Efficient Deep Learning- Path to Smaller, Faster, and Better Models

In today's tech savvy world, it is famously said that predicting the future isn't magic, it's called Artificial Intelligence, and Data is essentially the new science behind it! The field of Machine Learning and Artificial Intelligence at large is evolving at a tremendous pace. Every researcher is trying to achieve the best models and beat benchmarks continuously. In the real world, when a model is deployed, a lot of focus has to be spent on analyzing whether deep learning models can be efficiently scaled for people who might not have millions of dollars to train the models and gigantic machines to deploy their models. Deep learning and Artificial Intelligence have empowered humans to essentially find a needle in a haystack, however let's dive deeper into how this science can be made more accessible by making it more efficient.