jeffheaton / t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
☆5,707Updated 2 weeks ago
Related projects: ⓘ
- Lab Materials for MIT 6.S191: Introduction to Deep Learning☆7,178Updated last month
- A collection of machine learning examples and tutorials.☆8,308Updated last month
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆18,440Updated 2 months ago
- Notebooks for learning deep learning☆5,662Updated 11 months ago
- Public facing notes page☆10,133Updated last month
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"☆8,947Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆11,366Updated 3 months ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,109Updated 3 years ago
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆27,707Updated 3 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,288Updated 4 years ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,463Updated 4 years ago
- TensorFlow Tutorials with YouTube Videos☆9,272Updated 3 years ago
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆7,317Updated last month
- Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: …☆3,023Updated 5 months ago
- Data science interview questions and answers☆8,740Updated 2 weeks ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,165Updated 11 months ago
- Lecture notes; sample code; slides for the course foundations of analytics that I am teaching at Washington University in St Louis☆12Updated last year
- A curated list of references for MLOps☆12,465Updated 3 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,321Updated 3 years ago
- This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the …☆5,140Updated last year
- this repository accompanies the book "Grokking Deep Learning"☆7,361Updated 3 months ago
- Approaching (Almost) Any Machine Learning Problem☆7,233Updated last year
- Machine learning glossary☆3,005Updated last month
- PyTorch tutorials.☆8,102Updated this week
- Notebooks and code for the book "Introduction to Machine Learning with Python"☆7,368Updated 6 months ago
- A technical report on convolution arithmetic in the context of deep learning☆13,967Updated last year
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆8,995Updated last year
- A game theoretic approach to explain the output of any machine learning model.☆22,506Updated this week
- MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆12,721Updated 11 months ago
- https://huyenchip.com/ml-interviews-book/☆3,373Updated 3 months ago