RNN layer to skip certain time steps (like `Masking` layer in keras) · Issue #644 · FluxML/Flux.jl · GitHub
![Building a Mask R-CNN from scratch in TensorFlow and Keras | by Franciska Rajki | Towards Data Science Building a Mask R-CNN from scratch in TensorFlow and Keras | by Franciska Rajki | Towards Data Science](https://cdn-images-1.medium.com/fit/t/1600/480/1*BHing80sa30uUzHYk_qpSQ.png)
Building a Mask R-CNN from scratch in TensorFlow and Keras | by Franciska Rajki | Towards Data Science
![recurrent neural network - Masking Layer leads for error InvalidArgumentError: Incompatible shapes: [128,0] vs. [128,6] in Keras - Stack Overflow recurrent neural network - Masking Layer leads for error InvalidArgumentError: Incompatible shapes: [128,0] vs. [128,6] in Keras - Stack Overflow](https://i.stack.imgur.com/tnxu9.png)
recurrent neural network - Masking Layer leads for error InvalidArgumentError: Incompatible shapes: [128,0] vs. [128,6] in Keras - Stack Overflow
![How to mask on loss function in Keras using Tensorflow backend · Issue #8342 · keras-team/keras · GitHub How to mask on loss function in Keras using Tensorflow backend · Issue #8342 · keras-team/keras · GitHub](https://user-images.githubusercontent.com/28801925/32281931-35364118-bf5b-11e7-866c-9a3bf57883e0.png)
How to mask on loss function in Keras using Tensorflow backend · Issue #8342 · keras-team/keras · GitHub
![recurrent neural network - Pooling Layer doesn't support after zero_mask = True in embedding layer (Keras) - Stack Overflow recurrent neural network - Pooling Layer doesn't support after zero_mask = True in embedding layer (Keras) - Stack Overflow](https://i.stack.imgur.com/DM4yN.png)
recurrent neural network - Pooling Layer doesn't support after zero_mask = True in embedding layer (Keras) - Stack Overflow
![Is there an alterntive to tf.keras.layers.Masking in PyTorch? Or Is there any way to implement it from scratch? : r/pytorch Is there an alterntive to tf.keras.layers.Masking in PyTorch? Or Is there any way to implement it from scratch? : r/pytorch](https://external-preview.redd.it/OSCBtrrj70lG_95fr3YiMX2IshyLRqfWEoQ2a-GaH9o.jpg?auto=webp&s=a367f7fd9ae3cd87ad2b6f1a6bbe30eb0e62872c)