Category "keras"

How to pass custom weights to scikit_learn wrappers (e.g. KerasClassifier) in a multilabel classification problem

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

Saving a composite model that includes a custom layer results in error - None has NoneType, but expected one of: bytes, unicode

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

ValueError when using ModelCheckpoint in Keras

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

'str' object has no attribute 'decode' for tensorflow in colab?

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

Keras ValueError: Dimensions must be equal - How to pass label-dependent values to custom loss function

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

Evaluate model result for multitask learning with keras

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

Evaluate model result for multitask learning with keras

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

Training simple CNN-LSTM model

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

model.fit in a for loop, for K-fold cross validation

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

Keras, TF: Do I have to label all images when adding an attribute to a mutilabel image classification model?

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

Converting From .pt model to .h5 model

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 need help to use only 8 out of 10 classes from cifar 10. Normally it loads all 10 classes

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

How can I save the output of a convolution layer with and without a dilation rate as images

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

ValueError: Shapes (None, 1) and (None, 3) are incompatible

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

Getting "ValueError: 'outputs' must be defined before the loop." error while fitting model

I made a CNN model for training b/w images for training it on TPU on dimension of 100*100. Added the basic callback but after running it, it was giving outputs

Keras CNN, Incompatible shapes: [32,20,20,1] vs. [32,1]

I'm trying to reconstruct in Python the Gradient Transformation Network model in the paper titled : Single Image Super-Resolution Based on Deep Learning and Gra

Keras Model doesn't seem to be loading weights?

I can get the model to train effectively. However, I am now having a problem with it comes to loading the model and testing it on new data again. I was able t

Why is Tensorflow image classification model overfitting? [closed]

I've been working a food image classification model. I started off with the TensorFlow tutorial and modified the model (code below). The model

Custom keras loss function binary cross entropy giving improper results

Did anyoe have a convincing solution to make custom_binarycrossentropy work? I tried all possible methods (even making the whole training data size same as the

Keras loss value significant jump

I am working on a simple neural network in Keras with Tensorflow. There is a significant jump in loss value from the last mini-batch of epoch L-1 to the first m