What are some resources for learning AI fine-tuning?
There are several great resources available! You can start with online courses like Coursera's "Deep Learning Specialization" by Andrew Ng.
Are there any books you recommend?
Yes! "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron is excellent for practical insights.
What about tutorials or blogs?
Definitely! The Towards Data Science blog on Medium has many tutorials on fine-tuning models, and you can also check out the official TensorFlow and PyTorch documentation.
Can you suggest any YouTube channels?
Sure! Channels like "3Blue1Brown" and "Sentdex" offer great visual explanations and practical coding examples.
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