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JuliaCon tells me it has accepted my virtual poster proposal (about interpretation of images as matrices and visualizing the matrix multiplication of those matrices).
Also, Julia Flux is now successfully computing gradients on my compositions of matrix transformations, and has successfully solved an inverse problem for me for the first time using gradient descent.
I started to migrate from Python and PyTorch in the early 2020, and now it's probably time to say officially (for example, in a resume) that Julia is my first programming language, and Julia Flux is my first machine learning framework (if one wants to sort by familiarity). This will also be a milestone: saying that Python is no longer my first language, and PyTorch is no longer my preferred machine learning framework.
Also, Julia Flux is now successfully computing gradients on my compositions of matrix transformations, and has successfully solved an inverse problem for me for the first time using gradient descent.
I started to migrate from Python and PyTorch in the early 2020, and now it's probably time to say officially (for example, in a resume) that Julia is my first programming language, and Julia Flux is my first machine learning framework (if one wants to sort by familiarity). This will also be a milestone: saying that Python is no longer my first language, and PyTorch is no longer my preferred machine learning framework.
