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Learn how to use Facenet PyTorch, deep learning, and computer vision for face detection and facial landmark detection
In this deep learning tutorial, learners will use the PyTorch Facenet library to detect faces and facial landmarks.
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Free to watch • No registration required • HD streaming
Facial Keypoint detection with deep learning and PyTorch using ResNet50. Predict facial keypoints on real-time webcam feed as well.
In this article, we will further our discussions on the topic of facial keypoint detection using deep learning. We will learn about some more advanced techniques.
Get to learn about facial keypoint detection using deep learning and PyTorch. Use deep neural nets to detect facial landmarks.
In this article, you will get to learn about facial keypoint detection using deep learning and PyTorch. This article will be fully hands-on and practical. We will go through the coding part thoroughly and use a simple dataset for starting out with facial keypoint detection using deep learning PyTorch. This is also known as facial landmark detection.
Know how to recognize human actions in videos using ResNet 3D deep learning neural network model pre-trained on the Kinetics-400 dataset.
In this tutorial, we will also try to recognize human actions in videos using deep learning and neural networks.
Detecting potholes in roads using Faster RCNN ResNet50 deep learning object detector.
We will be detecting road potholes using Faster RCNN deep learning object detector in this tutorial.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Hands-on coding of deep learning semantic segmentation using the PyTorch deep learning framework and FCN ResNet50.
In this tutorial, we will get hands-on experience with semantic segmentation in deep learning using the PyTorch FCN ResNet models.
Learn about image segmentation in deep learning. Get to know about different image segmentation architectures and real life application.
Image segmentation is one of the most important topics in the field of computer vision. A lot of research, time, and capital is being put into to create more efficient and real time image segmentation algorithms. And deep learning is a great helping hand in this process. In this article, we will take a look the concepts of image segmentation in deep learning.
Learn how to reduce distortion in images using deep learning and spatial transformer network with PyTorch framework.
In this article, we will learn how we can reduce distortion in images using the Spatial Transformer Network (STN) using the PyTorch deep learning library.
Know about Spatial Transformer Networks in deep learning and apply the concepts using the PyTorch framework.
In this tutorial, we will go through the concepts of Spatial Transformer Networks in deep learning and neural networks.
Learn how to carry out Faster RCNN object detection on images and videos using the Pytorch deep learning framework.
In this article, we will use a deep learning object detector to detect objects in images and videos. We will the Faster R-CNN deep learning detector in particular. Faster R-CNN is one of the best object detectors out there in terms of accuracy.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Learn about the different evaluation metrics such as average precision, mean average precision, and IoU for deep learning object detection.
In this article, we will learn about the evaluation metrics that are commonly used in object detection. Before moving deep into any object detection project, it is better to have a grasp on these concepts.
Learn about deep learning object detection techniques. Get to know the different sate-of-the-art deep learning based object detectors.
What will you learn after reading this article?
What is object detection? A basic introduction.
Research papers that we will discuss in this article.
Finally, some new techniques that are worth reading and knowing about.
The RCNN family of object detectors.
The SSD (Single Shot Detection) object detector.
The YOLO (You Only Look Once) family of object detectors.
Learn how to use Automatic Mixed Precision with PyTorch for training deep learning neural networks. Train larger neural network models in less time.
In this tutorial, we will learn about Automatic Mixed Precision Training (AMP) for deep learning using PyTorch.
Learn how to implement Deep Convolutional Generative Adversarial Network using Pytorch deep learning framework in the CIFAR10 computer vision dataset.
In this tutorial, we will be implementing the Deep Convolutional Generative Adversarial Network architecture (DCGAN).
Use the PyTorch deep learning framework to build and train the Vanilla Generative Adversarial network on the MNIST Digit images.
In this tutorial, we will generate the digit images from the MNIST digit dataset using Vanilla GAN. We will use the PyTorch deep learning framework to build and train the Generative Adversarial network.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
This article discusses how highly imbalanced vision dataset affects the class accuracies in deep learning and neural network image classification.
In this article, we will discuss how to get per-class accuracy in a highly imbalanced image/vision dataset.
Train a ResNet34 deep neural network model using Transfer Learning with PyTorch on the Caltech101 dataset and get 95% test accuracy.
In this article, we will train a ResNet34 deep neural network on the Caltech101 dataset using transfer learning and try to achieve more than 95% test accuracy. The main question is why the Caltech101 dataset for this deep learning tutorial?