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Questions tagged [keras-layer]

1512 questions
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2 answers

Conv1D on 2D input

Can someone explain to me what happens when a keras Conv1D layer is fed 2D input? Such as: model=Sequential() model.add(Conv1D(input_shape=(9000,2),kernel_size=200,strides=1,filters=20)) Varying the input size between (9000,1) and (9000,2) and…
Kaare
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3 answers

Keras - Pop and re-add layers, but layer does not disconnect

Using Keras (1.2.2), I am loading a sequential model whose last layers are: model.add(Dense(512)) model.add(Activation('relu')) model.add(Dense(nb_classes)) model.add(Activation('softmax')) Then, I want to pop the last layer, add another fully…
Béatrice Moissinac
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6
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3 answers

Change input tensor shape for VGG16 application

I want to feed images with the shape (160,320,3) to VGG16(input_tensor=input_tensor, include_top=False) How can I include a layer that reshapes the images to the shape expected by the VGG16 model, which is (224,224,3) ?
Oblomov
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Keras - Fusion of a Dense Layer with a Convolution2D Layer

I want to make a custom layer which is supposed to fuse the output of a Dense Layer with a Convolution2D Layer. The Idea came from this paper and here's the network: the fusion layer tries to fuse the Convolution2D tensor (256x28x28) with the Dense…
Cypher
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6
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Stateful LSTM with Embedding Layer (shapes don't match)

I am trying to build a stateful LSTM with Keras and I don't understand how to add a embedding layer before the LSTM runs. The problem seems to be the stateful flag. If my net is not stateful adding the embedding layer is quite straight forward and…
toobee
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Keras remove layers after model.fit()

I'm using Keras to do the modelling works and I wonder is it possible to remove certain layers by index or name? Currently I only know the model.pop() could do this work but it just removes the most recently added layers. In addition, layers is the…
Ludwig Zhou
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How does Embedding layer in Keras work on float input values?

x is a (64, 1) dimensional vector created randomly using tf.random.uniform((BATCH_SIZE, 1)), where the BATCH_SIZE = 64. A random initialization looks like this: tf.Tensor( [[0.76922464] [0.7928164 ] [0.91224647] [0.41210544] [0.33040464] …
Utpal Mattoo
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keras : add layers to another model

I need to add layers to an existing model. However, I need to add the layers at "the main model level", that is I can't use the classic functional approach. For example, if I use something like: from keras.layers import Dense,Reshape, Input inp =…
volperossa
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AttributeError: module 'tensorflow.python.keras.backend' has no attribute 'get_graph'

I have been working on keras yolov3 model for object detection. This error keeps showing up. Here is the error: AttributeError: module 'tensorflow.python.keras.backend' has no attribute 'get_graph' I don't know what to do. I have tried replacing…
Abu Noman Md Sakib
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How do I find the non differentiable operation in my layer?

I am trying to create a rather complex lambda-layer with many operations in keras. After I implemented it, I got a ValueError: No gradients provided for any variable. While I am using only keras operations to transform the data, (except for a…
McLP
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CNN autoencoder with non square images

I have implemented a variational autoencoder with CNN layers for the encoder and decoder. The code is shown below. My training data (train_X) consists of 40'000 images with size 64 x 78 x 1 and my validation data (valid_X) consists of 4500 images of…
machinery
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Keras 2: Using lambda function in "Merge" layers

I am trying to implement this merge layer: policy = merge([out1, out2], mode = lambda x: x[0]-K.mean(x[0])+x[1], output_shape = (out_node,)) However, "merge" is no longer present in Keras 2. You can only access public standarized "Merge" layers,…
olinarr
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how do I implement Gaussian blurring layer in Keras?

I have an autoencoder and I need to add a Gaussian noise layer after my output. I need a custom layer to do this, but I really do not know how to produce it, I need to produce it using tensors. what should I do if I want to implement the above…
david
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keras.backend.function return a AttributeError: Layer dense is not connected, no input to return

I want to know the median result of a neutral network for tuning purpose. I design my model and use keras.backend.function but failed(AttributeError: Layer dense is not connected, no input to return). Here is my example: import tensorflow as tf from…
nan
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Is there a method to find the min, max of a Tensorflow/Keras layer input during training?

Is there an option to find the min, max range of the input, of a Keras/Tensorflow layer where the output of the min, max range calculation is a float? E.g. I want to know this range for the tf.fake_quant_with_min_max_args() function, where min, max…
michelvl92
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