In general, deep learning frameworks adoption hit a slump in March 2020 with the Covid crisis, and only started recovering in November 2020. However, the slump wasn't dramatic and the recovery has been decent, so on balance TensorFlow and Keras have seen modest growth in 2020.
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Yes, this is true. It is also harder to time/cost bound an ML project than traditional software project (such as building a working site). I personally am affected by a client scale back on their ML ambition, on the thin hope that they will refund it this year.
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