Are you stuck in a slow OCR-based system? Here are some tips and tricks. — Just recently, I had to deal with a system that was focused heavily on OCR. And when I checked the internet, there were almost no practical guides on improving the latency of an OCR-based system, just some common tips, and tricks that were repeated repeatedly. In this article, I aim…

A beginner’s hands-on guideline for an end-to-end machine learning project on Time-Series Forecasting. — In part 1, you have learned how to analyze a problem, collect the data for it, and do the important visualizations to understand the data. In the 2nd part, we are going to learn about the following(and more fun) things. Model creation and training Model Evaluation, Tuning, and improvement API…

A beginner's hands-on guideline for an end-to-end machine learning project on Time-Series Forecasting. — Creating a model is easy, but creating a service is a difficult task. In this article, you are going to learn a complete end-to-end pipeline of a simple Data Science project that would begin with a problem statement and end with a service. To make this information easy to absorb…

Let's get the most out of deep learning specialization by deeplearning.ai — I started Deep Learning specialization recently and I found another resource that stacks up with this specialization at coursera and gets the most out of it. Let's learn about this specialization first. This specialization by deeplearning.ai at Coursera is one of the best specializations for deep learning especially for beginners…

A simple program to implement text to speech in C++ — Text to speech is a common implementation of Machine Learning and indeed a lot of great machine learning applications have been built which uses text to speech. It is a lot easier to do text to speech in C++ just by importing some predefined models and use them. …

In this article, I will tell you how to calculate the sigmoid(activation) function using PyTorch. — Sigmoid Function First of all, we need to know what is the Sigmoid Function. Sigmoid Function is very commonly used in classifier algorithms to calculate the probability. It always returns a value between 0 and 1 which is the probability of a thing. Read more about the sigmoid function in detail here.