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Step-by-step code guide for building neural networks Welcome to our practical implementation guide Deep learning illustrated Series. This series bridges the gap between theory and applications, providing concrete examples of…
It’s long, isn’t it? But that’s exactly the quantum leap that AI-based startup Neural Concept and its co-founder and CEO Pierre Baquet have made in just six years. In 2018,…
summary: A new study combined deep learning with neural activity data from mice to unravel the mystery of how mice move through their environments. By analyzing the firing patterns of…
https://arxiv.org/abs/2401.14953 Meta-learning, a rapidly growing field of AI research, has made significant progress in training neural networks to rapidly adapt to new tasks with minimal data. This technique focuses on…
Researchers from MIT, CarperAI, and Parametrix.AI introduce Neural MMO 2.0, a large-scale multi-agent environment for reinforcement learning research, creating a versatile task system that allows users to define diverse objectives…
Pipeline parallelism partitions the model “vertically” into layers. You can also split certain operations “horizontally” within a layer. This is usually tensor parallel training. Many latest models ( transformer), the…
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