I want to load FaceNet in Keras but I am getting errors. the modal facenet_keras.h5 is ready but I can't load it. you can get facenet_keras.h5 from this link: h
Hello guys i am a biggner at computer vision and classification, i am trying to train a model using cnn method with tensorflow and keras, but i keep getting the
I want to create a sklearn pipeline that consists of two steps: Custom transformer function Keras classification model This is my data set (of course, I'm provi
After training a model using Google Colab, I downloaded it using the following command (inside Google Colab): model.save('model.h5') from google.colab import fi
I have a dozen pre-trained DNNs that I wish to add to a sklearn ensemble. The issue is that it seems I can not provide pre-trained models to KerasClassifier. cl
What I want to do is to add three external trainable parameters in the VAE network using the following function: def gmmpara_init(): theta_init = tf.Variab
I'm building a chain classifier for a multiclass problem that uses Keras binary Classifier model in a chain. I have 17 labels as classification target and datas
I'm trying to save a model which is a composite model of composite models. The first model is a sequential model of two sequential models. Both of the two sub-m
I'm creating an Ensemble of Vgg19, DenseNet, and EfficientNetB1. The code is as follows: IMAGE_SIZE = (224,224,3) import tensorflow as tf vgg19 = tf.keras.appl
I'm a beginner of deeplearning.I copied the code with python3 in colab. Code is from the book called"Book - Practical Deep Learning for Cloud, Mobile & Edge
I have a keras model with 5 outputs. My labels include 5 values to compare these to, but also 25 additional values representing a correlation matrix for the 5 v
I designed a CNN for a multitask classification in keras, where I have one input and two different class of classes in output. I compiled the model in this way
I designed a CNN for a multitask classification in keras, where I have one input and two different class of classes in output. I compiled the model in this way
I have a task for my project paper and I do not get how to train the model. This model is supposed to take an image and segment it into different classes. The h
I am trying to code a K-fold cross validation with LSTM architecture. But I got an this error (edit): Traceback (most recent call last): File "/Users/me/Deskt
i have a dataset of images and built a strong image recognition model. now i want to add another label to my model. i am asking myself, if i have to label every
I am using Google colab. I want to convert .pt model from my google drive to .h5 model. I follow link https://github.com/gmalivenko/pytorch2keras and https://ww
I want to perform 8 class classification only and hence need to filter any 8 classes out of 10. Please help. Thank you! Code to load cifar 10 is below #Keras li
I want to save a image file to see about difference using convolution layer with dilation rate and without that. Of course I can search images about that, but I
I have a 3 dimensional dataset of audio files where X.shape is (329,20,85). I want to have a simpl bare-bones model running, so please don't nitpick and address