🤖PyTorch is one of the most popular Deep Learning frameworks in use today. We have received numerous requests to cover topics related to Computer Vision in #PyTorch.

We hear you, here are our top free resources that will get you started. 🚀
What is PyTorch?

🔗pyimagesearch.com/2021/07/05/wha…

✨When to choose PyTorch
✨Understand the differences with other DL libraries
✨GPU support
✨Is PyTorch more suitable for research?
Your First Neural Network with PyTorch

🔗pyimagesearch.com/2021/07/12/int…

✨Create NN architecture from scratch using PyTorch
✨Initialize optimizers and loss function
✨Looping over training epochs
✨Backpropagate the network
Training Your First CNN with PyTorch

🔗pyimagesearch.com/2021/07/19/pyt…

✨Define CNN model architecture using PyTorch
✨Load the data
✨Make predictions
✨Train the model
✨Tune your hyperparameters
Image Classification with Pre-Trained Networks and PyTorch

🔗pyimagesearch.com/2021/07/26/pyt…

✨Perform image classification with Pre-Trained models
✨Infer on pre-trained VGG-16, Inception, DenseNet, and ResNet models
Object Detection with Pre-Trained Networks and PyTorch

🔗pyimagesearch.com/2021/08/02/pyt…

✨Perform object detection with Pre-Trained models
✨Faster R-CNN with ResNet50
✨Faster R-CNN with MobileNet v3
✨RetinaNet with ResNet50
Where to from here?🤔

If this has interested you, we recommend our university course.

🔗pyimagesearch.com/pyimagesearch-…

Hope to see you in the PyImageSearch family🙌🏻

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More from @PyImageSearch

Feb 18
🤖 Optical Character Recognition (OCR) is one of the most important applications of #ComputerVision in the real world.

In this thread, we cover some of our popular free tutorials on #OCR, which will get you started in no time. 🚀

🧵👇
What is Optical Character Recognition?

✨Accept an image
✨Detect the text
✨Convert the text to machine-readable format

🔗pyimagesearch.com/2021/08/09/wha…

[1/N]
Installing #Tesseract, #PyTesseract, and #Python OCR Packages On Your System

✨Install the Tesseract OCR engine on your machine
✨Create a python virtual environment for installation
✨Install necessary python packages

🔗pyimagesearch.com/2021/08/16/ins…

[2/N]
Read 5 tweets
Feb 11
Deep Learning can be intimidating to get started with. 😱 Our goal at PyImageSearch is to break down complex topics and make them accessible for everyone. 😌

In this thread, we link some of our top free tutorials on Deep Learning so that you can get started in no time.

🧵👇
What is Deep Learning

✨History and evolution of Deep Learning
✨Shallow and Deep Learning
✨Feed-Forward Networks

🔗pyimagesearch.com/2021/04/17/wha…

[1/N]
Image Classification Basics

✨Your first Deep Learning project
✨Learn the basics of image classification

🔗pyimagesearch.com/2021/04/17/ima…

[2/N]
Read 7 tweets
Feb 4
💫We at PyImageSearch have been writing extensively on #Opencv to make computer vision more accessible to everyone.

In this thread, we link some of our top free tutorials that will act as a launchpad🚀for any beginner.🧵👇
Loading and Displaying Images

🔗pyimagesearch.com/2021/01/20/ope…

✨ Use the command-line interface
✨ Load and display images

[1/N]
Image Basics

🔗pyimagesearch.com/2021/01/20/ope…

✨Image coordinate system in OpenCV
✨Use array slicing to grab regions of an image

[2/N]
Read 7 tweets
Jun 26, 2019
Incoming rant:
Today I answered 163 blog post comments and 283 emails on computer vision and deep learning. All for free. It took me 10 hours. I love helping and teaching others. If I didn’t, I would do it. But there exists a small minority of readers that hurt me/drain me.
They take advantage of free help — and what’s worse, I don’t think they are aware of the behavior. They make assumptions of your time, that if they email you, they are automatically *owed* or *deserve* a response, just by virtue of sending you a message.
Others will email in 15+ times in a single month and expect a response each time. Others write essays of emails, taking advantage of your time and not being respectful. Others don’t want to actually *learn*, they just want “done for them” code for their project or report.
Read 8 tweets

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