India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
DCGAN uses convolutional and convolutional-transpose layers in the generator and discriminator, respectively for image data
In this article we are going to perform facial landmark detection using opencv and mediapipe. We will detect 468 face landmarks in an image.
Here, we will use the real-time background replacement technique to substitute the backgrounds and add replace them with the desired content.
In this article, we will be Understanding Taming Transformers for High-Resolution Image Synthesis using VQGAN and VQ-VAE approaches
In this article, learn about Inverse Reinforcement Learning from Visual Demonstration to Train Artificial Intelligence Systems
We will develop a model to detect covid19 cough from mel spectrogram using CNN. Mel spectrogram is a spectrogram, converted to a Mel scale.
Computer vision is an interdisciplinary scientific field. In this blog learn where is computer vision used and how does computer vision work
In this article, we will learn Face recognition using OpenCV in Python & master the skills to implement facial recognition effortlessly.
Autoencoder is a particular type of feed-forward neural network. This article is a complete guide to learn to use Autoencoders in python
FaceNet is considered to be a state-of-art model developed by Google. It is based on the inception layer, and explains complete architecture
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