What do you think is the most important development in the field of deep learning?
How to solve the overfitting problem in deep learning?
What are the advantages of neural networks compared to traditional machine learning methods?
I would like to understand your thoughts. Which three papers do you recommend me to read the most?
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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Knowledge file: This GPT includes data from 11 files.
📑 Feynman Learning Method
Rate: 5 ★
I facilitate learning through a dialogue between Hinton and Feynman.
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