Question
Neural Network with Dynamic Input Size
We have created an LSTM model using Keras, and decreased its size to use it on our STM32F746G-Disco board. Our model can actually process dynamic size records. This means that, we do not need fix the size of the record. We could realize it on Google Colab platform. We however encountered the error "not implemented: dynamic input dimensions not supported: shape is ('batch: none', 'ch: 16', 'h: none') (channel last)", the last channel varies because record lengths are different. How can we deal with this? Is it possible to pass dynamic input to LSTM model?