Update April 13, 2023 — Amazon Elastic Compute Cloud (EC2) Trn1n instances, powered by AWS Trainium, are now generally available. Amazon EC2 Trn1n instances double the network bandwidth (compared to Trn1 instances) to 1600 Gbps of Elastic Fabric Adapter (EFA) to deliver even higher performance for training network-intensive generative artificial intelligence (AI) models, such as large […]| Amazon Web Services
The main difference between PyTorch vs. TensorFlow is that PyTorch uses dynamic computational graphs, while TensorFlow uses static computational graphs. Here's what else to know about the two deep learning frameworks.| Built In
Fang-Pen Lin's blog about programming| Fang-Pen's coding note
Over the last 15 years (!) I have used Text-to-Speech (TTS) systems for various projects including a fairly elaborate home automation system,1 a distributed public announcement system and a monitoring system.2| calbryant.uk
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.| TensorFlow
Over the last 15 years (!) I have used Text-to-Speech (TTS) systems for various projects including a fairly elaborate home automation system,1 a distributed public announcement system and a monitoring system.2| calbryant.uk
Fang-Pen Lin's blog about programming| Fang-Pen's coding note
Profile your model on Cloud TPU Nodes| Google Cloud
Last week, I wrote about the mindset that computer systems can be understood, and behaviors can be explained, if we’re willing to dig deep enough into the stack of abstractions our software is built atop. Some of the ensuing discussion on Twitter and elsewhere lead me to write this followup, in which I want to run through a few classes of systems where I’ve found pursuing in-detail understanding of the system wasn’t the right answer.| Made of Bugs
A huge milestone towards Elixir and Machine Learning has been reached with the release of Nx v0.1| dashbit.co