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  1. Introduction To OpenCV
  2. Read, Display and Write an Image using OpenCV
  3. Reading and Writing Videos using OpenCV
  4. Image Resizing with OpenCV
  5. Cropping an Image using OpenCV
  6. Image Rotation and Translation Using OpenCV
  7. Annotating Images Using OpenCV
  8. Color spaces in OpenCV (C++ / Python)
  9. Image Filtering Using Convolution in OpenCV
  10. Image Thresholding in OpenCV
  11. Blob Detection Using OpenCV ( Python, C++ )
  12. Edge Detection Using OpenCV
  13. Mouse and Trackbar using OpenCV GUI
  14. Contour Detection using OpenCV
  15. Simple Background Estimation in Videos using OpenCV (C++/Python)
  16. Deep Learning with OpenCV DNN Module: A Definitive Guide
  1. Introduction to TensorFlow and Keras
  2. Getting Started with Neural Networks : A 30,000-Foot View for Beginners
  3. Training Neural Networks for Beginners
  4. TensorFlow & Keras Tutorial: Linear Regression
  5. Understanding Feedforward Neural Networks
  6. Implementing an MLP in TensorFlow & Keras
  7. Understanding Convolutional Neural Networks (CNNs): A Complete Guide
  8. Implementing a CNN in TensorFlow & Keras
  9. Image Classification using Pre-Trained ImageNet Models in TensorFlow & Keras
  10. Unlock the Power of Fine-Tuning Pre-Trained Models in TensorFlow & Keras
  11. A Step-by-Step Tutorial on Image Segmentation using Tensorflow Hub
  12. Object Detection Made Easy with TensorFlow Hub: Step-by-Step Tutorial
  1. Introduction To PyTorch
  2. Introduction to PyTorch: Basics
  3. PyTorch for Beginners: Image Classification using Pre-trained models
  4. Image Classification using Transfer Learning in PyTorch
  5. PyTorch for Beginners: Semantic Segmentation using torchvision
  6. Faster R-CNN Object Detection with PyTorch
  7. Mask R-CNN Instance Segmentation with PyTorch
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Getting Started with PyTorch

At Learnopencv.com, we have adopted a mission of spreading awareness and educate a global workforce on Artificial Intelligence. Taking a step further in that direction, we have started creating tutorials for getting started in Deep Learning with PyTorch. We hope that this will be helpful for people who want to get started in Deep Learning and PyTorch.

PyTorch for Beginners

We have created a series of tutorials for absolute beginners to get started with PyTorch and Torchvision. There are lots of tutorials on the PyTorch website and we have tried to write these tutorials in such a way that there is minimum overlap with those tutorials.

PyTorch Tutorial For Beginners: All the Basics
May 31, 2019

PyTorch Tutorial For Beginners: All the Basics

The world is evolving and so is the technology serving it. It’s crucial for everyone to keep up with the…

Pre Trained Models for Image Classification – PyTorch for Beginners
June 3, 2019

Pre Trained Models for Image Classification – PyTorch for Beginners

Hi! This post is part of our PyTorch series. In the previous post, Pytorch Tutorial for beginners, we discussed PyTorch,…

Torchvision Semantic Segmentation – PyTorch for Beginners
June 5, 2019

Torchvision Semantic Segmentation – PyTorch for Beginners

This post “Torchvision Semantic Segmentation,” is part of the series in which we will cover the following topics. 1. What…

Transfer Learning For Pytorch Image Classification
May 20, 2019

Transfer Learning For Pytorch Image Classification

We describe how to do image classification in PyTorch. We use a subset of CalTech256 dataset to classify 10 different…

Faster R-CNN Object Detection with PyTorch
June 18, 2019

Faster R-CNN Object Detection with PyTorch

1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input…

Mask RCNN Pytorch – Instance Segmentation
June 25, 2019

Mask RCNN Pytorch – Instance Segmentation

In this post, we will discuss the theory behind Mask RCNN Pytorch and how to use the pre-trained Mask R-CNN…

 

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Empowering innovation through education, LearnOpenCV provides in-depth tutorials, code, and guides in AI, Computer Vision, and Deep Learning. Led by Dr. Satya Mallick, we're dedicated to nurturing a community keen on technology breakthroughs.

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