Stanford University released yesterday a new course - 𝐃𝐞𝐞𝐩 𝐌𝐮𝐥𝐭𝐢-𝐓𝐚𝐬𝐤 𝐚𝐧𝐝 𝐌𝐞𝐭𝐚 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 🚀 (CS330 Fall 2022). 𝐏𝐫𝐨𝐟. 𝐂𝐡𝐞𝐥𝐬𝐞𝐚 𝐅𝐢𝐧𝐧 teaches the course, and it focuses on the following:
✅ The foundations of modern deep learning methods for learning across tasks
✅ How to implement and work with practical multi-task & transfer learning systems (in PyTorch)
✅ A glimpse into the scientific and engineering process of building and understanding new algorithms
All the course materials are open and available below 👇
𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 📚
➡️ Course website: https://cs330.stanford.edu/
➡️ Slides: https://cs330.stanford.edu/lecture_slides/
➡️Video lectures: https://www.youtube.com/watch?v=bkVCAk9Nsss&list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI&ab_channel=StanfordOnline
Thanks to Prof. Chelsea Finn and Stanford University for making this resource open and available for free!
#datascience #machinelearning #deeplearning #reinforcementlearning #python #pytorch #course
✅ The foundations of modern deep learning methods for learning across tasks
✅ How to implement and work with practical multi-task & transfer learning systems (in PyTorch)
✅ A glimpse into the scientific and engineering process of building and understanding new algorithms
All the course materials are open and available below 👇
𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 📚
➡️ Course website: https://cs330.stanford.edu/
➡️ Slides: https://cs330.stanford.edu/lecture_slides/
➡️Video lectures: https://www.youtube.com/watch?v=bkVCAk9Nsss&list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI&ab_channel=StanfordOnline
Thanks to Prof. Chelsea Finn and Stanford University for making this resource open and available for free!
#datascience #machinelearning #deeplearning #reinforcementlearning #python #pytorch #course
cs330.stanford.edu
CS 330 Deep Multi-Task and Meta Learning
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