Python deep learning packages - a concept map

python_deep_learning.md

graph LR
    A((Keras 3)) --is a high level API for --> B((Tensorflow))
    B --was developed by-->H[Google]
    C((Pytorch)) --was developed by-->D[Meta]
    A --is a high level API for --> C
    A --is a high level API for --> F[JAX]
    F --was developed by-->H
    A --implements--> G[Deep neural nets]
    B --implements--> G
    C --implements--> G
    F --implements--> P[Linear algebra]
    F --implements--> Q[Gradient based optimisation]
    I((Theano)) --implements--> P
    J((Scikit-learn)) --implements--> L[Machine learning]
    G --are a type of--> L
    K[Hugging Face's transformers] --is built on--> C
    N((PyMC)) --uses-->O((Pytensor))
    O --is a fork of--> I
    O --uses-->F
    R[Tensorflow probability] --uses--> B
    R --implements--> S[Bayesian models]
    N --implements--> S

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