I am training a neural network in tensor flow, and because I was running out of memory when training to load my whole training set (input images and "...

tf.keras.Model.fit(x=generator) does not work correctly with SparseCategoricalCrossentropy/sparce_categorical_crossentropy loss function with a genera...

I'm creating a hybrid model consisting of classical convolutional layers and a quantum output using Tensorflow. I can save the model in either .h5 or ...

Consider the situation in which I have a trained Keras Sequential model. I save the model using keras.saving.save_model(model, path, save_format="..."...

Can I train a neural network model using PyTorch and then use it in Keras, and vice versa? Are PyTorch and Keras Neural Network models 100% compatible...

Description: I'm trying to train a multi-output Keras model using a custom data generator. The model suppose to classify the mammography images by BIR...

I have a keras model that inputs a simple array and outputs two values (x and y) that belong to 5 possible categories (encoded as one-hot), with a cus...

I am trying to make a CNN-LTSM model with Keras, and I want to use keras.utils.Sequence to feed data into model (as the data is continuous, and I want...

This is my model import os import cv2 import numpy as np import tensorflow as tf from tensorflow.keras.preprocessing.image import ImageDataGenerator i...

I have this code on google colab which allows me to optimise an LSTM model using gridsearchCV, but recently an error message has appeared: ModuleNotFo...

I wrote an LSTM regression model. It is a model with batch_size=1 and return_sequences = True for the last LSTM layer. I also set validation_data and ...

When I run the file I get these errors: python app.py 2023-09-03 22:09:58.412966: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow...

I'm getting a memory leak and I believe it to be linked to the following warning: WARNING:tensorflow:6 out of the last 6 calls to triggered tf.functi...

I am wondering whether there is any difference between this Keras script: latent_dim = 2 latent_inputs = keras.Input(shape=(latent_dim,)) x = layers.D...

In the Keras tutorial it shows how to embed a text field and pass it to TFDF in this tutorial. sentence_encoder_layer = hub.KerasLayer( "https://t...

I am building a Keras deep learning Algorithm on dogs vs cats dataset. I am able to run my code in colab. But in Jupyter lab I am getting this error. ...

When I use the normalization with keras: tf.keras.layers.Normalization() Where should I use it? I adapt it with train data: x_train, x_test, y_train, ...

I would like to make predictions for some categorical variables using random forests in TensorFlow / Keras. I would expect that the output should be a...

I am trying to use Keras and TensorFlow to predict a variable via random forests. I encountered an unexpected behavior and I managed to trace it back ...

I am working on google colab with the segmentation_models library. It worked perfectly the first week using it, but now it seems that I can't import t...

I want to be able to review the hyperparameters passed to keras' RandomForestModel. I think this should be possible with model.get_config(). However, ...

Im new here. I have problem with this code, #Library import numpy as np import pickle import cv2 from os import listdir from sklearn.preprocessing imp...

I am using Keras with TensorFlow to implement a deep neural network. When I plot the loss and number of iterations, there is a significant jump in los...

I'm using Tensorflow/Keras 2.4.1 and I have a (unsupervised) custom metric that takes several of my model inputs as parameters such as: model = build_...

I have fitted an LSTM that deals with inputs of different length: model = Sequential() model.add(LSTM(units=10, return_sequences=False, input_shape=(N...