Epoch 0/2 ---------- Traceback (most recent call last): File cluster_resnet.py, line 210, in module train_model.train() File cluster_resnet.py, line 174, in train self._train_epoch(epoch) File cluster_resnet.py, line 134, in _ ...
Embedding layer is to turn positive integers (indexes) into dense vectors of fixed size. Why should we use an embedding layer? Two main reasons: 1. One-hot encoded vectors are high-dimensional and sparse. Let's assume that we are doing Natural_Language Processing (NLP) and have a diction ...