2,212 questions
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Tensorflow runs out of range during fitting: Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence
I have a dataset containing semantic vectors of length 384. I group them to windows each containing a 100. I batch them to batch sizes of 32. However, I get an error when fitting the model. I feel ...
- 1,085
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1
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53
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Why won't tf.keras let me pass a dictionary of multiple sample weights?
I am trying to pass individual np.arrays of sample_weights for two outputs of my Keras model, one of which is a confidence measure of a binary value and one of which is a continuous output. However, I ...
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8
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Set_weights for the FedBN algorithm
Attack classification with FedBN algorithm, but normalization is causing difference in weight set.
ValueError: You called `set_weights(weights)` on layer "model_1" with a weight list of ...
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62
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I'm having difficulty annotating the quantization of Keras's Dense layer within tfmot.quantization.keras.quantize_annotate_layer. What shall I do?
[To give context, this capstone project is an ML visual model for real-world and real time classification of wastes, based on their biodegradability. For better desirability, I chose ResNet50 as the ...
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Warning when loading the model because of Adam optimizer
I am implementing the following multi-task model with the following layers:
@tf.keras.utils.register_keras_serializable()
class Bcb_block(Layer):
def __init__(self, mid_chan, out_chan, data_format ...
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1
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66
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gradient tape for custom loss function
I'm currently working with an autoencoder in hopes to test its accuracy vs pca. My tutor asked me to add a custom loss function that involves the derivatives of the decoder output with respect to the ...
1
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1
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131
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How to pass Input to a tensorflow backbone model without getting AttributeError: 'tuple' object has no attribute 'as_list'
I am trying to use ResNet3D from tensorflow-models library but I am getting this weird error when trying to run the block
!pip install tf-models-official==2.17.0
Tensorflow version is 2.18 on the ...
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55
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Problem about training model Deep Learning
When I trained keras tensorflow model, it displayed error message:
This optimizer can only be called for the variables it was originally built with. When working with a new set of variables, you ...
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1
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115
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Using SavedModel format in Keras 3.5
I came up against a problem when trying to use tf.keras.models.load_model(Path_to_pb_model) to load a Savedformat model.
I'm using Tensorflow 2.17.1 with Keras 3.5.
Apparently Keras 3 only accepts ....
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52
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Does keras/TF support non-time-step masking?
Masking is a very broad term which normally means ignore part of.
However, the docs on masking describe it as:
Masking is a way to tell sequence-processing layers that certain timesteps in an input ...
- 197
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Data Cardinality error but all x trains have the same length as y labels
Whenever I run model.fit, I get a data cardinality error. However, my x trains and y trains have the same lengths. This is the exact message:
ValueError: Data cardinality is ambiguous:
x sizes: 100, ...
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62
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Why do I get AttributeError: module 'tensorflow.keras.backend' has no attribute 'placeholder' when using ART's KerasClassifier with TensorFlow 2.x?
I’m trying to use the Adversarial Robustness Toolbox (ART) with a simple Keras model in TensorFlow 2.x, but I’m encountering the following error:
AttributeError: module 'tensorflow.keras.backend' has ...
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121
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Arguments `target` and `output` must have the same rank (ndim) with keras
import pickle
import os
from tf_keras.models import Sequential
from tf_keras.layers import Conv2D, MaxPooling2D, Activation, Flatten, Dense
from keras_tuner.tuners import RandomSearch
from keras_tuner....
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Keras newbie: Why doesn't loss decrease when fine-tuning LLaMA 3.2 3B on TPU v3-8 with Keras?
I'm trying to fine-tune Meta's LLaMA 3.2 3B Instruct model using Keras on TPU v3-8 (Kaggle). While the code runs without errors, the loss remains constant during training.
Context:
My wife, a history ...
- 136
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1
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90
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How to use a Dense layer with an input that has a dynamically sized dimension?
I have a model with an input (batch of images w/ shape (height, width, time)) that has a dynamically sized dimension (time), which is only determined at runtime. However, the Dense layer requires ...
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