You do realize that main DL ideas have been developed in the 90s, or even earlier?

CNNs, RNNs, LSTMs, reinforcement learning, gradient descent, backpropagation - all that was used in the 90s, but given the limited computing power they had, people simply couldn't run large enough models on large enough data to get results.