In the new course and book by the end we show you how to build everything from scratch - including implementing gradients, creating a data processing library, writing all the equations out for loss and activation functions, building a resnet from scratch, etc...
Jermey, this sounds great! I now have several servers at our loft with GPUs, to run training and avoid noise from the laptop. You helped me have a good experience learning machine learning and enjoying learning+solving new problems.
My output from my new powers are several papers together with others and solved problems within the green tech energy market. We detect and forecast usage within timeseries data (energy consumptions).
Keep doing what you are doing! And thank for all the hours you put down into this.
Oh awesome! There's a really great fast.ai time series study group BTW, who have between them built a lot of great projects and (IMO) are more familiar with deep learning for time series than any other group I've come across:
https://forums.fast.ai/t/time-series-sequential-data-study-g...
