
AI
Career
Become an AI Engineer Full Course by Simplilearn
- Frank
- July 23, 2021
- AI
- ai course
- ai full course
- artificial intelligence engineer course
- artificial intelligence explained
- artificial intelligence full course
- artificial intelligence projects
- artificial intelligence tutorial
- artificial intelligence tutorial for beginners
- become AI engineer
- become artificial intelligence engineer
- deep learning explained
- deep learning tutorial
- deep learning tutorial for beginners
- simplilearn
- simplilearn ai
- Simplilearn artificial intelligence
Simplilearn is streaming this course on ecoming an AI engineer course live.
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AI
Deep Learning
Artificial Intelligence And Deep Learning Full Course
- Frank
- July 20, 2021
- AI
- artificial intelligence
- artificial intelligence course
- artificial intelligence explained
- artificial intelligence full course
- artificial intelligence projects
- artificial intelligence tutorial
- artificial intelligence tutorial for beginners
- Deep Learning
- deep learning course
- deep learning explained
- deep learning full course
- deep learning tutorial
- deep learning tutorial for beginners
- simplilearn
- Simplilearn artificial intelligence
Simplilearn recently streamed this full course on Deep Learning and AI.
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Generative AI
TransGAN: Two Transformers Can Make One Strong GAN
- Frank
- February 19, 2021
- AI
- artificial intelligence
- Arxiv
- attention is all you need
- attention mechanism
- attention neural networks
- Deep Learning
- deep learning explained
- generative adversarial network
- local attention
- Machine Learning
- machine learning explained
- multihead attention
- Neural Networks
- paper explained
- pixelshuffle
- self attention
- superresolution
- transformer gan
- transformer gans
- transformer generative adversarial network
- transformer generator
- transgan
- vision transformer
Generative Adversarial Networks (GANs) hold the state-of-the-art when it comes to image generation. However, while the rest of computer vision is slowly taken over by transformers or other attention-based architectures, all working GANs to date contain some form of convolutional layers. This paper changes that and builds TransGAN, the first GAN where both the generator […]
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