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In this article, I cover the theory behind receipt digitization and implement an end-to-end pipeline using OpenCV and Tesseract. I also review a few important papers that do Receipt Digitization using Deep Learning.

This course is a practical introduction to natural language processing with TensorFlow 2.0. In this tutorial you will go from having zero knowledge to writing an artificial intelligence that can compose Shakespearean prose.

No prior experience with deep…

The challenges Amazon has faced with big data are similar to the challenges many other companies face

Machine learning models can partially predict their future states and use these predictions to sample the optimal data for human review

In this article, you will learn about how you can build the speaker recognition system and the speaker diarization system on top of it.

Learn to use machine learning in Python in this introductory course on artificial intelligence.

MIT Introduction to Deep Learning 6.S191 (2020)

DISCLAIMER: The following video is synthetic and was created using deep learning with simultaneous speech-to-speech translation as well as video dialogue replacement (CannyAI).

** NOTE**: The audio quality…

Recurrent Neural Networks Python are one of the fundamental concepts of deep learning. Learn RNN from scratch and how to build and code.

When we talk about moving to a cloud data science environment on Google Cloud Platform (GCP), we think about working with a large amount of memory and sharing the load for large datasets.

This is from my recent talk about how to approach nlp problems in real world.