sudharsan13296/Hands-On-Meta-Learning-With-Python
Jupyter notebooks implementing meta-learning algorithms (MAML, Reptile, siamese networks, prototypical networks) in TensorFlow and Keras.
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This repository provides companion code for the book Hands-On Meta Learning with Python. It contains Jupyter notebooks implementing various meta-learning algorithms including MAML, Reptile, Meta-SGD, siamese networks, prototypical networks, relation networks, and memory-augmented networks using TensorFlow and Keras. The material covers one-shot learning, few-shot learning, zero-shot learning, and related concepts in learning to learn.
Frequently asked
- What is sudharsan13296/Hands-On-Meta-Learning-With-Python?
- Jupyter notebooks implementing meta-learning algorithms (MAML, Reptile, siamese networks, prototypical networks) in TensorFlow and Keras.
- Is Hands-On-Meta-Learning-With-Python open source?
- Yes — sudharsan13296/Hands-On-Meta-Learning-With-Python is an open-source project tracked on heatdrop.
- What language is Hands-On-Meta-Learning-With-Python written in?
- sudharsan13296/Hands-On-Meta-Learning-With-Python is primarily written in Jupyter Notebook.
- How popular is Hands-On-Meta-Learning-With-Python?
- sudharsan13296/Hands-On-Meta-Learning-With-Python has 1.2k stars on GitHub.
- Where can I find Hands-On-Meta-Learning-With-Python?
- sudharsan13296/Hands-On-Meta-Learning-With-Python is on GitHub at https://github.com/sudharsan13296/Hands-On-Meta-Learning-With-Python.