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8 минут назад @ reddit.comTo train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of music composition, the nature of the problem helps to narrow the options but at the same time, some other options appear for specific challenges.
This paper takes the framework proposed in a previous research that did not consider rhythm to make a series of design decisions, then, rhythm support is added to evaluate the performance of two RNN memory cells in the creation of monophonic music...
The model considers the handling of music transposition and the framework evaluates the quality of the generated pieces u…
19 часов назад @ paperswithcode.comIf you want to implement one of these built-in task types, along with a default labeling GUI, creating a labeling job requires no customization steps.
For more details on custom workflows, see Creating Custom Labeling Workflows and Creating custom labeling jobs with AWS Lambda and Amazon SageMaker Ground Truth.
What if you wanted to implement a custom GUI, but implement the built-in preprocessing and postprocessing logic that the built-in task types provide?
Creating the custom labeling jobAfter you upload the files to Amazon S3, you can create your labeling job.
ConclusionIn this post, I demonstrated how to implement a custom labeling GUI with built-in preprocessing and postprocessing logi…
2 недели, 2 дня назад @ aws.amazon.com#ai #technology #poker This paper does for Poker what AlphaZero has done for Chess & Go. The combination of Self-Play Reinforcement Learning and Tree Search has had tremendous success in perfect-information games, but transferring such techniques to imperfect information games is a hard problem. Not only does ReBeL solve this problem, but it provably converges to a Nash Equilibrium and delivers a superhuman Heads Up No-Limit Hold'em bot with very little domain knowledge. OUTLINE:
0:00 - Intro & Overview
3:20 - Rock, Paper, and Double Scissor
10:00 - AlphaZero Tree Search
18:30 - Notation Setup: Infostates & Nash Equilibria
31:45 - One Card Poker: Introducing Belief Representations
45:00 - S…
1 месяц назад @ youtube.com#deepmind #biology #ai This is Biology's AlexNet moment! DeepMind solves a 50-year old problem in Protein Folding Prediction. AlphaFold 2 improves over DeepMind's 2018 AlphaFold system with a new architecture and massively outperforms all competition. In this Video, we take a look at how AlphaFold 1 works and what we can gather about AlphaFold 2 from the little information that's out there. OUTLINE:
0:00 - Intro & Overview
3:10 - Proteins & Protein Folding
14:20 - AlphaFold 1 Overview
18:20 - Optimizing a differentiable geometric model at inference
25:40 - Learning the Spatial Graph Distance Matrix
31:20 - Multiple Sequence Alignment of Evolutionarily Similar Sequences
39:40 - Distance Matr…
1 месяц, 2 недели назад @ youtube.comDataFest Online 2020
AI Hardware track https://ods.ai/tracks/ai-hardware-df2020 Huawei's DaVinci AI compute architecture. Dmitrii Khizbullin, Overview of DaVinci compute architecture for Deep Learning training and inference, design choices for hardware and software layers. Register and get access to the tracks: https://ods.ai/events/datafest2020
Join the community: https://ods.ai/
1 месяц, 1 неделя назад @ youtube.comThis page appears when Google automatically detects requests coming from your computer network which appear to be in violation of the Terms of Service .
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8 месяцев, 3 недели назад @ youtube.comThis page appears when Google automatically detects requests coming from your computer network which appear to be in violation of the Terms of Service .
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8 месяцев, 3 недели назад @ youtube.com