Code "training" an AND & OR (1 layer) and XOR (2 layers) model! ;-)
https://developers.google.com/machine-learning/crash-course finished?
https://codelabs.developers.google.com/tensorflowjs-coral-tflite-node
https://www.tensorflow.org/resources/learn-ml
https://www.tensorflow.org/tfx/tutorials/serving/rest_simple
LLM @ home? https://github.com/Hannibal046/Awesome-LLM
Waz https://github.com/edgeimpulse/voice-activated-microbit for https://www.edgeimpulse.com/blog/voice-activated-microbit ?
https://colossalai.org & https://github.com/hpcaitech/ColossalAI
Use Interpreter, ask https://youtu.be/HxtBIwfy0kM ? Try links in description.
Try to hand-draw a digit on 28x28 pixels, or a bigger JPEG or PNG image file, and downsize it with Py, and load that image file and have it recognized!
TFX Serving for Web, e.g. https://youtu.be/vhYBaxHs2kI
Use model in https://www.tensorflow.org/js and hack a Web App with a 28x28 pixels Canvas to draw on!
TF lite instead of full TF in beginner-infer.py AFTER tensorflow/tensorflow#58264 is fixed (or after I can self build lite on a machine with more memory)
Run the model with TF lite on the Coral board, using fixed image; then with the webcam!
WARNING:tensorflow:No training configuration found in save file, so the model was *not* compiled. Compile it manually.
LOW PRIORITIY: Write Dockerfile to run that .py in a container (using https://www.tensorflow.org/install ?)
Learn https://fedoramagazine.org/mlcube-and-podman/
https://mlcommons.github.io/mlcube/getting-started/mnist/
https://colab.research.google.com/notebooks/gpu.ipynb
https://colab.research.google.com/notebooks/tpu.ipynb
Run on GCP?
- https://cloud.google.com/tpu/docs/intro-to-tpu
- https://cloud.google.com/tpu/docs/maintenance-events
- https://cloud.google.com/tpu/docs/managing-tpus-tpu-vm
- https://cloud.google.com/tpu/docs/system-architecture-tpu-vm
- https://cloud.google.com/tpu/docs/training-on-tpu-pods
tf.distribute, try bit.ly/keras-TPU from https://youtu.be/W7A-9MYvPwI; also see https://youtu.be/NbID_AqdZXM and https://youtu.be/ZnukSLKEw34
https://www.tensorflow.org/datasets
https://www.kaggle.com
https://modelzoo.co
https://www.tensorflow.org/lite/models/modify/model_maker
https://github.com/iterative/dvc
https://www.youtube.com/c/HuggingFace
https://huggingface.co/bert-base-uncased#how-to-use
https://github.com/google-research/bert#using-bert-in-colab
https://aws.amazon.com/blogs/industries/novartis-ag-uses-amazon-to-build-knowledge-graph-using-bert/
https://www.kubeflow.org/docs/started/introduction/
How to run Colab or iPython locally on a .ipynb? Try VS Code and locally install missing pip packages? or https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html or https://www.tensorflow.org/install.

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