📖 The Pragmatic Programmer: From Journeyman to Master: hands-on the most inspiring and useful book I've read about programming. 📖 Code Complete: A Practical Handbook of Software Construction: a nice addition to The Pragmatic Programmer, gives you the necessary framework to talk about code....
The subject of Neural Networks does not fit naturally into the general context of a meeting on "Competing Interactions & Microstructures: Statics and Dynamics". Therefore, I will try to explain what Neural Networks are, why are (some) physicists interested in them, and why is it not ...
What is a Graph Convolutional Network (GCN)? The majority of GNNs are Graph Convolutional Networks, and it is important to learn about them before jumping into a node classification tutorial. The convolution in GCN is the same as a convolution in convolutional neural networks. It multiplies neu...
I want to really thanks Underpower Jet for his amazing tutorial, by bringing it more to the surface. Because after all the videos and links I came across, he was the one that made the most significant difference to my understanding of backpropagation in neural networks. Plus, I would like...
Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research. The term deep neural network can have several meanings, but one of the most common is to describe a neural...
Neural networks - a tutorial 来自 Semantic Scholar 喜欢 0 阅读量: 34 作者: M Chester 摘要: In this book the emphasis is on the various mathematical paradigms by which different researchers have chosen to represent the logic of artificial neural networks. The treatment is at an intermediate ...
Graph-based deep learning Graph neural networks Survey 1. Introduction Spatial transcriptomics technologies have facilitated the profiling of genome-wide readouts and the documentation of the spatial locations of individual cells [1]. This wealth of information on gene expressions and their spatial contex...
Deep LearningGraph LearningGraph Neural NetworksThis tutorial of Deep Learning on Graphs for Natural Language Processing (DLG4NLP) will cover relevant and ... L Wu,Y Chen,H Ji,... - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technolog...
Densifier CUDA kernel & python api & Simplicits tutorial. (#836) Sep 26, 2024 kaolin Avoid warp init at import. Also add SATR in Readme (#862) Feb 28, 2025 sample_data/meshes Simplicits V0 (#806) Jul 17, 2024 tests Cloop/quantizer (#859) Feb 28, 2025 ...
Fast.ai: Practical Deep Learning for Coder (Part 1)✅ Fast.ai: Practical Deep Learning for Coder (Part 2)⬜ Datacamp: Convolutional Neural Networks for Image Processing✅ Karpathy: Neural Networks: Zero to Hero✅ Article: Weight Initialization in Neural Networks: A Journey From the Basic...