I want to use the Segmentation_Models UNet (with ResNet34 Backbone) for uncertainty estimation, so i want to add some Dropout Layers into the upsampling part. T
When using Keras Tuner, there doesn't seem to be a way to allow the skipping of a problematic combination of hyperparams. For example, the number of filters in
I'm using tensorflow 1.15.0 in docker container and have issue in importing keras sub-modules. from tensorflow import keras import tensorflow.keras.backend as
I am new to machine learning. I got the intermediate result of layer 31 of my CNN using the following code: conv2d = Model(inputs = self.model_ori.input, output
I used tfds.load to load Cityscapes dataset. The tf.data.Dataset object is enumerable and returns a dict for each enumeration. I added another value to each dic
I am trying to convert some code from tensorflow 1.x to tensorflow 2.x. It's been going well so far, but I'm stuck on atrous convolution. Unlike other layers, t
After a lot of research, it seems like there is no good way to properly stop and resume training using a Tensorflow 2 / Keras model. This is true whether you ar
I am trying to write a Custom Model in which I am writing a custom train_step function I am creating a 'tf.data.Dataset` from a Custom Datagenerator like tds =
I have images(X_train) and masks data (y_train). I want to train a unet network. I am currently using iou metric and the validation iou is very low and constant
I'm trying to reload or access the Keras-Tuner Trials after the Tuner's search has completed for inspecting the results. I'm not able to find any documentation
I'm trying to re-implement the text summarization tutorial here. The tutorial employs the Attention Layer proposed for Keras on GitHub (which does not come with