AI Summer
@theaisummer
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🤖 The blog to help you learn Deep Learning | 📘 Introduction to Deep Learning & Neural Networks course (https://t.co/dBiIiMHG7W)
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Joined May 2020
🚀 Our Introduction to Deep Learning & Neural Networks course is finalized. - 📘 52 lessons.- 💻 11 coding challenges.- 🏀 24 PyTorch playgrounds.- ❓ 8 Quizzes .- 🖼️ 89 Deep Learning Illustrations . 🧵Thread for details about lessons and structure👇.
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Our book in now on discount on Leanpub.
Deep Learning in Production by Sergios Karagiannakos is on sale on Leanpub! Its suggested price is $25.00; get it for $10.50 with this coupon: @KarSergios #MachineLearning #GoogleCloudPlatform #Ai #SoftwareArchitecture #Python #Docker.
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RT @james_y_zou: My @StanfordHAI colleagues and I predict #AI trends in 2025 My take: we will see a lot more multi….
hai.stanford.edu
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🚀 [New Article] 🚀 : An overview of classifier-free guidance for diffusion models (part 2). On their new blog, we expand on part 1 and review different classifier-free guidance (CFG) approaches to a diffusion model trained without conditioning dropout.
theaisummer.com
How to apply classifier-free guidance (CFG) on your diffusion models without conditioning dropout? What are the newest alternatives to generative sampling with diffusion models? Find out in this...
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RT @RaphaelAzorin: Neural Radiance Fields (NeRF) explained in simple terms from the ground up. Link : Thx @theaisu….
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[New article] An overview of classifier-free guidance for diffusion models. This new blog post explores classifier-free guidance (CFG) for diffusion models and presents recent advancements in the field. Part 2 is coming soon so stay tuned.
theaisummer.com
Learn more about the nuances of classifier-free guidance, the core sampling mechanism of current state-of-the-art image generative models called diffusion models.
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RT @KarSergios: 🚀 [New Article] 🚀 : An overview of classifier-free guidance for diffusion models. This new blog post by @nadaloglou and Ti….
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[AI Summer Learning Mondays] - Large Transformer Model Inference Optimization #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
lilianweng.github.io
[Updated on 2023-01-24: add a small section on Distillation.] Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. They are powerful but very expensive to...
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[AI Summer Learning Mondays] - Prompt Engineering by Lilian Weng #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python
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[AI Summer Learning Mondays] - What are Diffusion Models? #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
lilianweng.github.io
[Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-f...
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Deep learning on computational biology and bioinformatics tutorial: from DNA to protein folding and alphafold2 | AI Summer #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
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[AI Summer Learning Mondays] - Transformers in computer vision: ViT architectures, tips, tricks and improvements | AI Summer #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
Learn all there is to know about transformer architectures in computer vision, aka ViT.
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[AI Summer Learning Mondays] - Grokking self-supervised (representation) learning: how it works in computer vision and why | AI Summer #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
A general perspective on understanding self-supervised representation learning methods.
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Learn how to perform 3D Medical image segmentation with transformers by @nadaloglou #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
Implement a UNETR to perform 3D medical image segmentation on the BRATS dataset
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Introduction to medical image processing with Python: CT lung and vessel segmentation without labels by Nikolas Adaloglou (@nadaloglou) #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
Find out the basics of CT imaging and segment lungs and vessels without labels with 3D medical image processing techniques.
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An overview of Unet architectures for semantic segmentation and biomedical image segmentation by Nikolas Adaloglou (@nadaloglou) #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python
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[AI Summer Learning Mondays] - Learn Pytorch Today: Training your first deep learning models step by step | AI Summer #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
This blogpost is about starting learning pytorch with a hands on tutorial on image classification.
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[AI Summer Learning Mondays] - Open challenges in LLM research #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
huyenchip.com
Never before in my life had I seen so many smart people working on the same goal: making LLMs better. After talking to many people working in both industry and academia, I noticed the 10 major...
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Understanding Maximum Likelihood Estimation in Supervised Learning by @nadaloglou #MachineLearning #DeepLearning #ai #aisummer #machinelearning #artificialintelligence #python.
theaisummer.com
This article demystifies the ML learning modeling process under the prism of statistics. We will understand how our assumptions on the data enable us to create meaningful optimization problems.
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