Master Generative AI with 10+ Real-world Projects in 2025!
Author: since 05 Oct, 2020 Article: 12 Claps: 14
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
So what does the newest release of PyTorch, i.e, 1.9 have to offer? Let's explore the new offerings by Facebook's PyTorch 1.9
Google AI has introduced Tensorflow 3D library which can be used for state-of-the-art 3D semantic segmentation, 3D object detection, etc
Hugging Face has released Transformers v4.3.0 and it introduces the first Automatic Speech Recognition model to the library: Wav2Vec2
Facebook AI has developed self supervised learning model that can help doctors predict how a patient’s condition may develop.
In this artile let's see the Implementation of Attention Mechanism for Caption Generation with Transformers using TensorFlow
CLIP allows us to design our own classifiers and remove the need for any specific training data but still achieve SOTA results regardless the CV task
DALL-E is a neural network that successfully turns text into an appropriate image for a wide range of concepts expressible in natural language
Attention mechanism is a complex cognitive ability that human beings possess. Let us see how to implement it for image captioning.
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