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1 answer
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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, ...
Red's user avatar
  • 113
0 votes
0 answers
97 views

What is wrong with my Python and Tensorflow install?

I work on a PC with Windows 11 and have installed Python 3.11.9 which is supposed to be the required Python version for Tensorflow. I also installed numpy 1.26.4, scipy 1.15.2, Orange3 3.38.1 which ...
Roland Alexander's user avatar
0 votes
1 answer
58 views

Discrepancy Between NumPy and TensorFlow FFT Outputs: Missing Imaginary Components in TensorFlow

I am working on a project where I need to perform Fourier Transform on synthetic periodic data using both NumPy and TensorFlow. However, I am encountering a discrepancy between the FFT outputs of ...
Atte Harrikari's user avatar
1 vote
1 answer
87 views

numpy eager execution problem after loading a CNN model

I want to save and load a CNN model to further training. I have developed a model and saved it as .h5 file. There is no problem when creating, training, and saving at first run. The problem exists ...
Arief Kurniawan's user avatar
0 votes
1 answer
67 views

Tensorflow model training, List to numpy array conversion unevenly changes the shape of data

I am trying to predict LSDC from MRI images. For each study_id there are multiple images. Each study_id represents each patient. I want to predict 3 level of severity for 5 conditions on 5 levels. I ...
Kazi Md Abdullah Al Mubin's user avatar
0 votes
0 answers
66 views

Tensorflow numpy gradient function in keras model

I have a problem since i want to use the Numpy's gradient function in a keras model. I've tried to code a custom Layer with tensorflow operations but I'm still stuck with the numpy gradient function ...
Sébastien Rousseau's user avatar
0 votes
1 answer
477 views

Understanding YOLOv11 Tensor Ouput Shape for Post-Processing

I tried export YOLOv11 model to tensorflow, it said: 'yolo11n.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 84, 8400) (5.4 MB) Now I have this model summary in Keras 3: Model: &...
Muhammad Ikhwan Perwira's user avatar
0 votes
1 answer
112 views

Training a Keras model to identify leap years

I'm trying to teach my learning model how to identify leap years. My Python code can be seen below: import tensorflow as tf import numpy as np import calendar # ------------------- UTILITY FUNCTIONS -...
Ricardo DS's user avatar
0 votes
0 answers
74 views

How to convert .h5 file to JSON format

I have tried all the steps at https://www.tensorflow.org/js/guide/conversion. I do not know whether i should install using pip or npm so I tried both, but when i tried using either of them, it gave me ...
S3CR3T's user avatar
  • 1
0 votes
1 answer
1k views

After installing Python 3.12.7 from 3.9.1 I got this issue. Numpy version has been altered and I received this error

I tried to incorporate tensorflow 2.0 into anaconda to be used in jupyter notebook. However, numerous issues have arise ranging from no module tensorflow detected to uninstall and reinstall anaconda. ...
Michael Yen Ezett's user avatar
0 votes
1 answer
43 views

How to create Dataset to generate random images with Tensorflow?

I am trying to setup an image pipeline: load images from disk into a dataset, rescale, generate patches, train. Loading from disk is slow so I want to create random data to simulate a real image. I ...
poilwant's user avatar
4 votes
1 answer
46 views

keras model does not learn if using tf.data pipeline

A keras model does learn using Numpy arrays as the input, but fails to make any progress if reading data from a tf.data pipeline. What could be the reason potentially? In particular, the model ...
Dmitry Zotikov's user avatar
2 votes
1 answer
105 views

How can I convert the datatype of a numpy array sourced from an awkward array

I have a numpy array I converted from awkward array by to_numpy() function, and the resulting array has the datatype: dtype=[('phi', '<f8'), ('eta', '<f8')]). I want to make it a regular tuple ...
Yusuf Çil's user avatar
0 votes
0 answers
39 views

Unable to install and use torch through CUDA and VSCode

I have set up Anaconda environment and downloaded CUDA and CuDNN in it. I also have tensorflow installed via conda (not tensorflow-gpu) along with keras and scikit-learn. Once that is done, I am ...
thecuriouscat's user avatar
0 votes
0 answers
77 views

Anomaly detection using CNN autoencoder along with gramian angular field image encoding for time series data

bit of an interesting question here. I have a CNN autoencoder model built using tensorflow that I am trying to detect anomalies with using kernel density estimation along with reconstruction error. ...
user23590427's user avatar

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