Deployment of an ML-model or deep learning model simply means the integration of the model into an existing production environment which can take in an input and return an output that can be used in making practical business decisions. It is the last stage of machine or deep learning.


TensorFlow Lite is an open source deep learning framework for on-device inference.

Neural network are very computationally expensive, because of that most of architectures can’t be executed on a mobile device. To overcome this problem, we have the TensorFlow Lite — library used to optimize models in multiple ways so…

Implement Smart Contracts using solidity

A custom node project for implementing a smart contract includes following components

Contract Creation — Create a smart contract using solidity

Local Testing — Test scripts to compile, execute and test the smart contracts

Deployment — Deployment scripts to compile and deploy the contracts on ethereum test network.

There are…

Ethereum for web developer

Ethereum is a distributed public block chain, before understanding the decentrealized apps we should know what a blockchain is

A blockchain is a growing list of records, called blocks, which are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp…

Integrate Docker in CI/CD pipeline using Jenkins on AWS EC2

Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.

Install Docker


Amazon Linux EC2 Instance

Install docker and start docker services

yum install docker -y docker — version

# start docker…

Continuous Integration and deployment of Angular 2+ application using Jenkins on AWS EC2

Install Jenkins on AWS EC2

Jenkins is a self-contained Java-based program, ready to run out-of-the-box, with packages for Windows, Mac OS X and other Unix-like operating systems. …

Ravi Valecha

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