Artificial Intelligence

📢 CNN resources! 👉🏼 Convolutional Neural Network Tutorial: From Basic to Advanced: here. 👉🏼 A Beginner's Guide To Understanding Convolutional Neural Networks: here. 👉🏼 An intuitive guide to Convolutional Neural Networks: here. Research Papers: 👉🏼 Gradient-Based Learning Applied to Document Recognition: here. 👉🏼 Backpropagation Applied to Handwritten Zip Code Recognition: here. 👉🏼 Convolutional Networks for Images, Speech, and Time-Series: here. Visualization: 👉🏼 Watch the full video: here.

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Nvidia acquires ARM for $40Billion https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai?ncid=so-face-68622#cid=gnl_so-face_en-us

👉🏼 BASNet (Qin et al, CVPR 2019) for salient object detection and background removal. Basnet: https://github.com/NathanUA/BASNet AR cut and paste: https://github.com/cyrildiagne/ar-cutpaste

Deep Learning with Pytorch by Prof.Yann LeCun (CNN Founder) This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. GitHub Link: https://atcold.github.io/pytorch-Deep-Learning/ YouTube Playlist: https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq

🤯 A new model can detect deepfake images by looking at subtle visual artifacts like textures in hair, backgrounds and faces. It creates heatmaps that pinpoint manipulated areas and exaggerate their effects. Paper/Code: https://chail.github.io/patch-forensics/

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