Capstone Week 8 (Starting February 18)

 This week I created the project showing my completion of part 1 of the Fast.ai course. The files can be found on my GitHub at https://github.com/aleczambie/fastai-nba-cert-portfolio 


Along with that, I started part 2 of the certification and I went from “using deep learning” to actually understanding what’s going on under the hood. I started with stable diffusion and practicing it, then dove into the fundamentals that make all of this work like matrix multiplication and tensors, and building and training an MLP.  From there I built up to autoencoders and the Learner/callback mindset, and learned why doing stuff like initialization and normalization can make the difference between training that works and training that doesn't work. 


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