I guess many institutions and research groups can write similar accounts. Even the late 80s were somewhat productive concerning NNs and what today we call ML, just by searching publications of that era.
We had also some relatively sophisticated tools, and looking back in time one could say they were deep-learning-ish. In my personal case I did some research for weather forecasting using BPN/TDNN, Kohonen and RNNs with the Stuttgart Neural Network Simulator [0]. It allowed some flexibility creating and stacking models.
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I guess many institutions and research groups can write similar accounts. Even the late 80s were somewhat productive concerning NNs and what today we call ML, just by searching publications of that era.
We had also some relatively sophisticated tools, and looking back in time one could say they were deep-learning-ish. In my personal case I did some research for weather forecasting using BPN/TDNN, Kohonen and RNNs with the Stuttgart Neural Network Simulator [0]. It allowed some flexibility creating and stacking models.
[0] http://www.ra.cs.uni-tuebingen.de/SNNS/welcome.html