The gulf between the hardware of 2013 and 2023 is huge. Modern GPUs are probably close to ~100x faster for ML (thanks to the use of mixed precision math and hardware level optimizations for that usecase) than the Titan, which was the best consumer NVIDIA GPU you could buy at the time in 2013. Not to mention the huge change in the ML software landscape, tensorflow and pytorch didn't exist back then.
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The gulf between the hardware of 2013 and 2023 is huge. Modern GPUs are probably close to ~100x faster for ML (thanks to the use of mixed precision math and hardware level optimizations for that usecase) than the Titan, which was the best consumer NVIDIA GPU you could buy at the time in 2013. Not to mention the huge change in the ML software landscape, tensorflow and pytorch didn't exist back then.