Articles25 Blogs1 Books15 Certifications3 Communities3 Courses19 Newsletters2 Papers20 Podcasts4 Video Series8 Videos31 Websites8

AI Models1 Advanced26 Agents3 Amazon Web Services2 Attention1 Back Propagation3 Bayesian Network1 Beginner38 Belief Propagation1 Best Practices1 Business5 Calculus14 Case Studies2 ChatGPT5 Competitions2 Complexity1 Computer Vision2 Convolutional Neural Networks1 Data Analysis2 Data Engineering1 Data Science4 Datasets2 Decision Trees2 Deep Learning25 Deep Reinforcement Learning1 Entropy1 Ethics5 Feature Extraction1 Future Predictions4 GPT2 GPT-41 Generative AI3 GitHub Repos2 Goodhart's Law1 Gradient Descent1 History3 Ilya30u3027 Image Processing1 Inference1 Infrastructure1 Intermediate2 Jupyter Notebooks2 Keras1 LSTM1 Language Models2 Large Language Models15 Linear Algebra2 Machine Learning30 Markov Chains1 Micrograd1 Microsoft Azure1 Model Tuning1 Natural Language Processing6 Neural Networks15 Non-Technical3 NumPy1 Open Source1 Pandas1 Physics1 Predictive Modeling1 Pricing1 Probability2 Prompt Engineering3 Prompt Injection1 PyTorch1 Python6 Recurrent Neural Networks1 Reinforcement Learning3 Scikit-Learn1 Security3 Stable Diffusion1 Startups2 Statistics2 System Design1 TensorFlow3 Transformers5 Vector Databases1 Visual39 Web Scraping1

Learn Anything Online

Deep Residual Learning for Image Recognition

By Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

•

Free

•

Added 7 months ago

View Original Resource

Description

Suggested reading from Ilya Sutskever, OpenAI’s chief scientist, for John Carmack.

Topics

Made by @indiehackerman