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September 29, 2021

Train Object Detection Models using YoloV5

Use Yolov5 architecture to train model with pytorch backend for different dataset and convert dataset from one format to other for training of yolov5 object detection models.

September 18, 2021

Optical Character Recognition (OCR) using Tesseract in python

Tesseract is a open-source OCR engine owened by Google for performing OCR operations on different kind of images. Use pytesseract to process different type of images and localize text location with confidence.

September 07, 2021

Introduction to CallBacks in Tensorflow 2

Tensorflow callbacks are very important to customize behaviour of Keras Tensorflow models in training or evaluation. We can either use predefined callbacks from tensorflow or can write our own callbacks to do some process.

June 19, 2021

Text Data Augmentation using NLPAug

We have different triditional and Machine Learning based methods for increasing our training data by changing data shape, adding noise or creating nearly similar data using current dataset. NLPAug is an open source python package for data augmentation using different methods and pretrained Deep Learning models.

May 14, 2021

Train and Deploy Machine Learning models using Azure ML

AzureML is a machine learning cloud-based service from Azure cloud used for development, training and deployment of Machine Learning models and solutions

May 09, 2021

Emotion Classification from text using Tensorflow 2

Emotion Classification is a Natural Language Processing task in Machine Learning where we can process text data and classify into different classes and can detect sentiment of given text.

May 02, 2021

Face detection and matching with Azure Cognitive Services

Use Azure Cognitive face service to detect faces in images and also match faces to recognize person in images. We can also use it to group faces and face recognition.

May 02, 2021

Connect custom domain to Google Compute Engine

Connect a custom domain from any domain provider to Google cloud compute engine

March 17, 2021

Train Image Classification model using Azure Cognitive Services

Train a Deep learning image classification model with no or very less code and serve using an endpoint using azure cognitive services.

January 24, 2021

Train Image Classification model using tensorflow

Image classification is a very basic example in computer vision yet used widely for a lot of tasks. In image classification, we can input and image to deep learning model and get related label for class which image belongs to. We can use image classification for classifying an object from different classes, checking quality of a manufactured objects(good or not),

January 18, 2021

Tensorflow classification models optimization using TensorRT

Optimize tensorflow deep learning models using TensorRT by nvidia to speed up inference of models with good accuracy.

January 10, 2021

Deploy keras image classification model using flask and Docker on Azure

For any model, we train for a specific purpose, we need to deploy it on some cloud or local device to use it for new data, so here we will learn about cloud deployment as API

January 10, 2021

Face detection using Face_recognition library

Face Detection and Recognition is a very used part in Deep Learning. We use face detection and recognition for different tasks like login on applications, person recognition and different attendence systems.