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Explore ETA prediction using Graph Neural Networks in Google Maps with Aleksa Gordić's AI Epiphany in under an hour. Learn about graph formation, features, and inference work.
Understand the intricacies of playing Atari with deep reinforcement learning in less than an hour with Aleksa Gordić - The AI Epiphany. Dive into DQN, experience replay buffer, and more.
Dive into Graph ML with Aleksa Gordić's concise guide, covering research tips, applications, resources, and a walk-through of his GAT project. Less than 1-hour commitment.
Explore the intricacies of Graph Attention Network implementation with Aleksa Gordić's concise walkthrough, focusing on the Cora dataset and other deep learning projects.
Dive deep into Temporal Graph Networks with Aleksa Gordić's AI Epiphany in under an hour. Learn about dynamic graphs, vectorized time representation, and paper details.
Understand OpenAI's CLIP, its method, comparison with SimCLR, zero-shot tasks, and more in less than an hour with Aleksa Gordić - The AI Epiphany.
Dive deep into Graph SAGE, the first paper to promote the use of GNNs for large graphs, in less than an hour with The AI Epiphany.
Dive deep into Graph Convolutional Networks with Aleksa Gordić's AI Epiphany, exploring methods, variations, and limitations in under an hour.
Dive deep into Graph Attention Networks with Aleksa Gordić's AI Epiphany, covering basic graph theory and detailed GAT workings in under an hour.
Understand the workings of the original transformer with Aleksa Gordić's detailed walkthrough, using a machine translation example. Learn tokenization, embeddings, and more in under an hour.
Learn to develop deep learning projects with a focus on transformers in under an hour with AI expert Aleksa Gordić.
Understand VQ-GAN and high-resolution image synthesis in less than an hour with Aleksa Gordić from The AI Epiphany. Learn about perceptual loss, adversarial loss, and sequence prediction.
Understand Neural Discrete Representation Learning with VQ-VAEs in less than an hour with Aleksa Gordić. Dive into AI papers, PyTorch code, and gain a solid grasp of VQ-VAEs.
Explore deep reinforcement learning for efficient chip placement with Aleksa Gordić's AI Epiphany in under an hour. Dive into key points, pipeline, results, and future research.
Dive deep into Non-Parametric Transformers with Aleksa Gordić's AI Epiphany, exploring key ideas, architecture, and connections to Graph Neural Networks and CNNs in under an hour.
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