Not too long ago, having just a few hidden layers—two or three—was considered “deep,” and models were constrained by computational limits. But now, with advances in hardware (especially GPUs and TPUs), training techniques, and data availability, the depth and size of neural networks have scaled dramatically. Evolution of “Deep” in Deep Learning • Early Neural … Continue reading Deep Learning Evolution