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ohadravid.github.io | ||
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comsci.blog
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| | | | | In this blog post, we will learn about vision transformers (ViT), and implement an MNIST classifier with it. We will go step-by-step and understand every part of the vision transformers clearly, and you will see the motivations of the authors of the original paper in some of the parts of the architecture. | |
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wtfleming.github.io
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| | | | | [AI summary] This post discusses achieving 99.1% accuracy in binary image classification of cats and dogs using an ensemble of ResNet models with PyTorch. | |
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peterbloem.nl
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| | | | | [AI summary] The text provides an in-depth overview of the Transformer architecture, its evolution, and its applications. It begins by introducing the Transformer as a foundational model for sequence modeling, highlighting its ability to handle long-range dependencies through self-attention mechanisms. The text then explores various extensions and improvements, such as the introduction of positional encodings, the development of models like Transformer-XL and Sparse Transformers to address the quadratic complexity of attention, and the use of techniques like gradient checkpointing and half-precision training to scale up model size. It also discusses the generality of the Transformer, its potential in multi-modal learning, and its future implications across d... | |
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trishagee.com
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| | | I'm working on a new talk which aims to address some of the issues that face developers when it comes to running automated tests. Please take my super-scientific survey so that I can take a look at the real issues facing developers, and structure my talk around them. Thanks! https://www.surveymonkey.com/r/TXSDVH5 Author Trisha Gee Trisha is ... Continue reading "Is testing getting in the way of your productivity?" | ||
