I am training a CNN with an dataset of images that consists of 2410 RGB images and belongs to two categories, i.e., crops and another is grass. After training t
Here is my code. from keras.optimizers import gradient_descent_v2 as SGD sgd=SGD(lr=0.01,momentum=0.9,decay=(0.01/25),nesterov=False) I get the following er
TF 2.x - just for the experience I tried with a simple experimental dataset - to show the problem: import numpy as np import tensorflow as tf import keras from
I want to disable a computation of several filters during Predict call with Tensorflow 2 and Keras. Do i have to modify the source code of Tensorflow to achieve
np_utils.to_categorical Keras method give me an error when i gived it a a vector of [962] element which contain 3 classes [1,1,1,...,2,2,2,...3,3,3]. The used
My model is a resnet-152 i wanna cutting it into two submodels and the problem is with the second one i can't figure out how to build a model from an intermedi
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 loss after ea
I've been attempting to install and run anipose in Ubuntu 18.04 I keep getting the same import error though I've made sure keras is installed. I've also searche
I am missing information about the 'val_acc' attribute when I fit a compiled sequential model. I have a sequential model that is compiled with 'accuracy' metr
I am trying to create a sequential keras model with custom weights. The weights come from a row in a numpy array. When running the code I get the error: Value
I've used a data-set containing closing price of a particular stock for 5 years.It has closing prices for 1231 days. The train_set consists of 987 days and the
When using Keras Tuner, there doesn't seem to be a way to allow the skipping of a problematic combination of hyperparams. For example, the number of filters in
Let's suppose we have a neural nets with three layers : Inputs > Hidden > Outputs and consider that the weigths between the Hidden and Outputs layers are
I'm not sure about when to use raw vs multi output in the keras flow_from_dataframe class_mode parameter, as by the looks of it, they both provide a way to clas
I have this function that used to work and broke when I updated or upgrade to tensorflow 2. def df_to_dataset(dataframe, shuffle=True, batch_size=32): datafra
I get an error when I import the TensorFlow. I tried to reinstall it but still, I keep getting this error---> TypeError: Unable to convert function return va
I am classifying a medical images dataset into normal vs abnormal where I am applying transfer learning with ResNet50v2. I did a little change in the last laye
I am working with python 3.9, tensorflow 2.7.0 with a modified version of Mask RCNN https://github.com/leekunhee/Mask_RCNN/blob/tensorflow2.0/mrcnn). I am worki
I am working with python 3.9, tensorflow 2.7.0 with a modified version of Mask RCNN https://github.com/leekunhee/Mask_RCNN/blob/tensorflow2.0/mrcnn). I am worki
I want to make a face recognition for employees as work. I already have system that gets image from cameras and outputs face embeddings (128-dimensional vectors