Dog Breed Classification: Part 4 (App Deployment)In the last post we created a simple web app where user can upload a dog image as input and the model will give him the breed to which the…Aug 6, 2022Aug 6, 2022
Dog Breed Classification: Part 3 (Simple App Development)In the last post using Transfer Learning, I showed how to train an EfficientNet model using tensorflow in Google Colab. You can revisit the…Aug 6, 2022Aug 6, 2022
Dog Breed Classification: Part 2 (Deep Learning Model)This is in continuation of the last post where I scraped images from Google Search. You can read it here…Aug 6, 2022Aug 6, 2022
Dog Breed Classification: Part 1 (Image Scraping)This is a simple Deep Learning application which will try to classify four varieties of dog breed — Boston Terrier, French Bulldog…Jul 10, 2022Jul 10, 2022
Vehicle Detection using YOLO v4 in PythonFor complex Machine Learning application, the favourite go-to algorithm would be Neural Networks as they show high accuracy than…May 11, 2022May 11, 2022
Gradient Descent using SimulinkIn most of the programming languages like C, Python, Java etc. code has to be written to realize the logic. Enter Simulink where the…Mar 7, 2022Mar 7, 2022
Scraping Data using YouTube APIOne of the major step involved in Machine Learning or Deep Learning is Data collection. After collecting data, we analyze it and then move…Feb 26, 2022Feb 26, 2022
Simple Machine Learning Flask API (using Flasgger)For users to interact with any Machine Learning application, some kind of a GUI or a web application is necessary. A web application is…Jan 23, 2022Jan 23, 2022
Deploying Python and PostgreSQL in DockerOne of the most common issues that we run into during software development is mismatch in development and testing environment. For example…Jan 2, 2022Jan 2, 2022
Database in Python using psycopg2One of the most essential and basic requirement in Machine Learning is having a database. It is here where you will save and retrieve your…Dec 25, 2021Dec 25, 2021
