All Questions
26,776 questions
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18
views
MobileNet dynamic range quantization breaks model accuracy
I've been working on building a binary fire detection model based on TF keras MobileNet v2 and transfer trained from ImageNet weights. After training the model and inferencing it works well with about ...
- 77
0
votes
0
answers
28
views
Trouble loading tensorflow when running cloned repo
So, I'm trying to get the code from this repo https://github.com/amin20/GBM_WSSM working but I'm running into a persistent error.
Using TensorFlow backend.
Traceback (most recent call last):
File &...
0
votes
0
answers
37
views
model.predict hangs in celery/uwsgi
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from apps.common.utils.error_handling import suppress_callable_to_sentry
from django.conf import settings
from threading import ...
- 3,002
1
vote
0
answers
67
views
my clasification A.I. model cant surpass a certain validation precision threshold
I've recently getting started with A.I. and for a project i wanted to create a model that can classify what kind of disease you have based on a chest x-ray, After writing the model and using the ...
- 111
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answers
26
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Keras SKLearnClassifier wrapper can't fit MNIST data
I'm trying to use the SKLearnClassifier Keras wrapper to do some grid searching and cross validation using the sklearn library but I'm unable to get the model to work properly.
def build_model(X, y, ...
-2
votes
1
answer
39
views
Why is my TensorFlow CNN OCR model outputting incorrect characters for Persian license plates? [closed]
I’m building a FastAPI web API to detect Persian car license plates using YOLOv8 and extract their text with a custom TensorFlow CNN OCR model. YOLOv8 correctly detects the plate’s bounding box, but ...
2
votes
1
answer
51
views
Cannot see all `Dense` layer info from `search_space_summary()` when using `RandomSearch Tuner` in Keras-Tuner?
I am trying to use keras-tuner to tune hyperparameters, like
!pip install keras-tuner --upgrade
import keras_tuner as kt
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers ...
- 104k
0
votes
1
answer
57
views
Why do model.evaluate() vs. manual loss computation with model.predict() in tf.keras do not add up?
I use keras and tensorflow to train a 'simple' Multilayer Perceptron (MLP) for a regression task, where I use the mean-squared error (MSE) as loss-function. I denote my training data as x_train, ...
- 113
0
votes
0
answers
105
views
Getting ValueError: Unexpected object from deserialization, expected a layer or operation, got a <class '__main__.L1Dist'>
here is the code from the Distance layer part because site is not allowing me to upload full code.
embedding = make_embedding()
distance layer
class L1Dist(Layer):
def __init__(self, **kwargs):
...
- 25
1
vote
1
answer
62
views
Regression error with Python tensorflow keras
could someone please help me to fix the following error :
[AttributeError: 'super' object has no attribute 'sklearn_tags']
based on my code :
from tensorflow import keras
from scikeras.wrappers ...
- 11
0
votes
1
answer
68
views
Is there a reason that tensorflow is not working with Keras?
import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
from tensorflow.keras.layers import Conv1D, MaxPooling1D, GlobalAveragePooling1D, Dense, Dropout, BatchNormalization
from ...
-1
votes
0
answers
52
views
Does the fact that i have just train, test split using keras image_from_dataset affect my metrics
I've been trying to figure out why my metrics were low after training. I had an F1 score of 75% which is not what i expected at all. I reviewed the code and I suspected the issue was the train, ...
- 1
0
votes
1
answer
48
views
Troubleshoot "Invalid input shape for input Tensor"
I am trying to build a model with keras and tensorflow to play Go:
training_data = encode_from_file_info(training_files)
testing_data = encode_from_file_info(testing_files)
input_shape = (...
- 83.7k
0
votes
0
answers
115
views
Q-values output is NaN in DQN model - input state is normalized and padded
I'm training a Deep Q-Network (DQN) to trade crypto using historical data. My model keeps outputting NaN values for the Q-values during prediction. I'm using a custom function getState2() to generate ...
- 13
1
vote
1
answer
66
views
Getting an error "AttributeError: module 'tensorflow.python.distribute.input_lib' has no attribute 'DistributedDatasetInterface'"
After running the code
train(train_data, EPOCHS)
I'm getting error
"AttributeError: module
'tensorflow.python.distribute.input_lib' has no attribute 'DistributedDatasetInterface'"
and ...
- 25