Audio Library is a YouTube channel dedicated to search, catalog, sort and publish free music for commercial purposes, destined to content creators and filmma...
What if there was an Empire-focussed short Star Wars animation, drawn with the crazy detail and shading of classic 80s anime that's all but vanished from Japan nowadays? Well, I tried my best.
Solving a 5 yr old personal mystery about "Why Water Walks on Water". Click here to tweet this video: https://goo.gl/oYRa57 Thanks to Google Making & Science...
The textbook Analytic Combinatorics by Philippe Flajolet and Robert Sedgewick enables precise quantitative predictions of the properties of large combinatorial structures.
Karan Thapar speaks to former Pakistani ambassador to the US and well-known academic scholar Husain Haqqani about his new book 'Reimagining Pakistan: Transfo...
The center of the technology world may not lie in California's Silicon Valley, but in the bustling marketplace of Huaqiangbei, a subdistrict of Shenzhen...
This is the Graph Neural Networks: Hands-on Session from the Stanford 2019 Fall CS224W course.
In this tutorial, we will explore the implementation of graph neural networks and investigate what representations these networks learn. Along the way, we'll see how PyTorch Geometric and TensorBoardX can help us with constructing and training graph models.
Pytorch Geometric tutorial part starts at -- 0:33:30
Details on:
* Graph Convolutional Neural Networks (GCN)
* Custom Convolutional Model
* Message passing
* Aggregation functions
* Update
* Graph Pooling
Physics is a part of games that has always amazed me. I find it funny how impossible it seemed to do correctly when I was younger. While making a custom game engine, it was finally demystified!
The full article: https://blog.winter.dev/2020/designing-a-physics-engine/
The background game demo: https://winter.dev/demo
- Cell Structure and Viruses
- Enzyme Activity and Cell Respiration
- Cell Cycle, Reproduction and Embryology
- Genetics
- Nervous and Musculoskeletal System
- Endocrine System
- Digestive and Excretory Systems
- Cardiovascular and Respiratory Systems
- Immune System
Google Spotlight Stories is a new form of immersive storytelling made specifically for mobile and VR. In these 360-degree, interactive stories, your phone be...
Basic principle and practical procedure of the tensile test on ductile metallic materials - Testing machine (Inspekt 200 kN, Hegewald & Peschke Meß- und Prüf...
This course will introduce the student to classic neural network structures, Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), General Adversarial Networks (GAN) and reinforcement learning. Application of these architectures to computer vision, time series, security, natural language processing (NLP), and data generation will be covered. High Performance Computing (HPC) aspects will demonstrate how deep learning can be leveraged both on graphical processing units (GPUs), as well as grids. Focus is primarily upon the application of deep learning to problems, with some introduction to mathematical foundations. Students will use the Python programming language to implement deep learning using Google TensorFlow and Keras.
Use a computer? Game on a PC? Ever wonder how those graphics get so pretty? Let's go inside your high-end graphics card with this animation. Subscribe for mo...
Spinning objects have strange instabilities known as The Dzhanibekov Effect or Tennis Racket Theorem - this video offers an intuitive explanation. Part of th...
Kwadwo Sampany-Kessie gives a quick review of books that are good for learning Chinese. But which one is the best Chinese book? On his channel there will be ...
In this video we will take an in depth look at the fast inverse square root and see where the mysterious number 0x5f3759df comes from. This algorithm became famous after id Software open sourced the engine for Quake III. On the way we will also learn about floating point numbers and newton's method.
- ARM Research
- Hound: Causal Learning for Datacenter-scale Straggler Diagnosis
- Adaptive Resource Management for Mobile CMPs through Self-awareness
- On-the-fly deterministic binary filters and other on-going work in Machine Learning Systems
- Managed Modularity for Deep Neural Networks
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