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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.

    2