Welcome!
I'm Deepak, a Machine Learning Architect and a Full Stack Engineer
Welcome!
I'm Deepak, a Machine Learning Architect and a Full Stack Engineer
A Deep Learning model served as a REST API using Flask, Docker for containerization and Kubernetes for orchestration on GCP
Python 2
Using Regression, Classification, Clustering and Association-Rule Learning for solving several Machine-Learning problems. Dimensionality-Reduction techniques like PCA, LDA and Kernel-PCA
Jupyter Notebook 3
To solve problems in Deep-Learning using ANN, CNN, RNN, Self-Organizing-Maps, Boltzmann Machines and AutoEncoders
Forked from ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.