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1. JAX-Flax-Tutorial-Image-Classification-with-Linen JAX-Flax-Tutorial-Image-Classification-with-Linen Public archive

   How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datasets).

   Jupyter Notebook 24 3

2. NumPy-org-Tutorial-Policy-Gradients-Deep-RL-with-Pong-from-Scratch NumPy-org-Tutorial-Policy-Gradients-Deep-RL-with-Pong-from-Scratch Public

   For NumPy.org: How to implement a policy gradients deep reinforcement learning agent from scratch and train it to play Pong using screen pixels. Without an autodiff library.

   5

3. NumPy-org-Tutorial-Deep-Learning-from-Scratch NumPy-org-Tutorial-Deep-Learning-from-Scratch Public

   For NumPy.org: How to build a feedforward neural network from scratch and train it with NumPy. Without an autodiff library.

4. TensorFlow.org-Transformer-for-machine-translation TensorFlow.org-Transformer-for-machine-translation Public archive

   Tutorial: Neural machine translation with a Transformer and Keras - for TensorFlow.org documentation

   Jupyter Notebook 3

5. google-flax-dropout-guide google-flax-dropout-guide Public archive

   google/flax: How to apply `flax.linen.Dropout` (a guide for flax.readthedocs.io).

6. learning-meta-learning learning-meta-learning Public

   Learning meta-learning in machine learning or learning learning how to learn. How to use ML to design ML methods. Papers, videos, more papers.

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