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I sometimes reminisce about the 2010-2020 deep learning and reinforcement learning etc era, as a student I did some projects in that domain back then and it fel
by c-fe 2y ago
I sometimes reminisce about the 2010-2020 deep learning and reinforcement learning etc era, as a student I did some projects in that domain back then and it felt very approachable and relatively easy to get into it compared to how I (most likely subjectively) see it today as a developer (in a different field).
I remember I doing a project in my second bachelor semester, where I generated random 64x64 images of a simple maze with a start and finish and then I tried to train a RNN algorithm that could navigate unseen mazes. There are so many better ways and algorithms to do it, but I learned a lot of cool tech anyway with this approach.
- yapyap 2y agomeh, u can still do that. only difference is u have to explain the difference between your ML thing and the gen. AI hypetrain bullshit, every time.
- kkzz99 2y ago>the gen. AI hypetrain bullshit I seriously can't understand this take at all. Its like people going on and on about how much better horse drawn carriages are compared to cars.