Data Science Dojo
FEBRUARY 15, 2023
Image Credit: Pinterest – Problem solving tools In last week’s post , DS-Dojo introduced our readers to this blog-series’ three focus areas, namely: 1) software development, 2) project-management, and 3) data science. This week, we continue that metaphorical (learning) journey with a fun fact. IoT, Web 3.0,
BAIR
APRIL 20, 2022
A demonstration of the RvS policy we learn with just supervised learning and a depth-two MLP. It uses no TD learning, advantage reweighting, or Transformers! Offline reinforcement learning (RL) is conventionally approached using value-based methods based on temporal difference (TD) learning.
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Data Science Blog
MARCH 14, 2023
Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) Artificial Intelligence (AI) ersetzt. Retrieved August 1, 2020.
Machine Learning (Theory)
APRIL 23, 2021
Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021 , including plenary talks, tutorials, trends in learning theory, and more! This initiative is organized by the Learning Theory Alliance , and overseen by Gautam Kamath.
Mlearning.ai
AUGUST 8, 2023
Background Many of the new exciting AI breakthroughs have come from two recent innovations: self-supervised learning and Transformers. Grounding DINO is a self-supervised learning algorithm that combines DINO with grounded pre-training. The model can identify and detect any object simply by providing a text prompt.
Hacker News
MARCH 25, 2022
They’re driving a wave of advances in machine learning some have dubbed transformer AI. Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. appeared first on NVIDIA Blog. Transformers Replace CNNs, RNNs. The post What Is a Transformer Model?
Heartbeat
JULY 6, 2023
The Swin Transformer is a deep learning model architecture that uses a hierarchical approach to perform object recognition in computer vision. The Swin Transformer is part of a larger trend in deep learning towards attention-based models and self-supervised learning. We pay our contributors, and we don’t sell ads.
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