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Questions - keras-layer

" ValueError: Expecting KerasTensor which is from tf.keras.Input()". Error in prediction with dropout function

I am trying to predict uncertainty in a regression problem using Dropout during testing as per Yarin Gal's article. I created a class using Keras's backend function as provided by this stack overflo...
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Anshul Nayak

tensorflow

keras

lstm

keras-layer

dropout

Votes: 0

Answers: 1

Latest Answer

To activate Dropout at inference time, you simply have to specify training=True (TF>2.0) in the layer of interest (in the last LSTM layer in your case) with training=False inp = Input(shape=(10, 1)...
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Marco Cerliani

Can not load saved model in keras / tensorflow?

I trained the model using autokeras with TensorFlow 2.5. I saved the pre-trained model using both methods explained on Keras (TensorFlow) home page. model.save(f'model_auto_keras{max_trials}.h5') mode...
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krishna

tensorflow

keras

tf.keras

keras-layer

auto-keras

Votes: 0

Answers: 1

Latest Answer

@krishna You can try: model = tf.keras.models.load_model('model.h5', custom_objects={'CategoryLayerName': tf.keras.layers.CategoryEncoding()}) In your model declaration use layer name for CategoryEnc...
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Peter Pirog

How to reverse max pooling layer in autoencoder to return the original shape in decoder?

I am building an autoencoder to compress the image. my input image is mnist dataset which contain (28,28,1) images and I want my latent space (encoded image)to have the shape (10,10,1) to have high ...
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mohammad

machine-learning

keras-layer

autoencoder

Votes: 0

Answers: 1

Latest Answer

There are multiple ways to upscale a 2D tensor, or alternatively, to project a smaller vector into a larger one. Here's a non exhaustive list: Apply one or a couple of upsampling layers followed by a...
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AntreasAntoniou

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