We are living in the era of “Containers”. For many benefits containers and dockers are most preferred method of deployments. Same benefits applies to Deep Learning as well which has special nuance that your container should be able to access the underlying GPU Hardware. Nvidia has created NGC (Nvidia Container…

Introduction If you work on TensorFlow and want to share GPU with multiple processes then you must have encountered into either of one of the below situations. This post discusses how to address these situations and use the GPU resources optimally to take maximum advantage of it. Technical Details: GPU —…

If you work on Tensorflow and want to share GPU with multiple processes then you must have encountered into either of one situation: Let’s see Memory Allocation For Tensorflow Based Model on A GPU: This is the GPU memory details before loading any Tensorflow Based Workload. It can be clearly…

Einstein Summation Convention on Operands What is Einstein Summation Convention ? Einstein summation is a convention for simplifying expression that includes summation of vectors, matrices or in general tensor. Remember scalar is zero rank tensor, vector is a rank one tensor and matrices are rank two tensors. Basically scalar, vectors and matrices are different forms of tensor based upon their rank.

Introduction Containerization is buzz word. Everyone talks about docker and containerization. Everyone want their project’s to be containerized because of associated benefit. But challenge is there are very few who understands actually what containers are and how they can be used in Artificial Intelligence based projects. I have attended many sessions…

Problem We all encounter above situation when inference or prediction time of our Machine Learning model is high. This specially happens for complicated ensembles models like Random Forest, Gradient Boosting etc. Further prediction time for the model increases with the number of features so larger models have high inference time. …

Problem Introduction — Data Exploration is the very first and fundamental task that Data Scientist’s perform as soon as they receive the data. Often Data Exploration even in a basic sense takes a lot of time. Though some of the metrices which Data Scientists want to take a look are common for various…

We often want to experiment with Spark but gets stuck with the absence of Spark Environment. In this post we will discuss how to setup a Spark environment inside the google colab with the few line of codes and We can use spark right away there in few minutes. Below…

Many of us are unaware of a relationship between Cosine Similarity and Euclidean Distance. Knowing this relationship is extremely helpful if we need to use them interchangeably in an indirect manner. …