Category "keras"

GlobalAveragePooling1D equivalence with Lambda Layer

Is the GlobalAveragePooling1D Layer the same like calculating the mean with a custom Lambda Layer? The data is temporal, so x has shape (batch, time, features)

Create a Tensorflow Dataset from a Pandas data frame with numerous labels?

I am trying to load a pandas dataframe into a tensor Dataset. The columns are text[string] and labels[a list in string format] A row would look something like:

Keras/Tensorflow network inference performance

I am using a Keras network which I am calling predict() many times on a single input. A rough calculation based on the layers gives ~3Mops. Running on my CPU sh

Instantiate Keras model with some weights before training

I have Keras model: pre-trained CV model + a few added layers on top I would want to be able to do model.predict before model.fit Q: how do I instantiate model

tensorflow Keras fitting value_error

I am new to tensorflow. i've tried to fit X and y both shape=8 float64 tensors X as feature set and y as target set. X = np.array([-7.0, -4.0, -1.0, 2.0, 5.0, 8

tensorflow load data: bad marshal data

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

how can reslove : InvalidArgumentError: Graph execution error?

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

AttributeError: 'numpy.ndarray' object has no attribute 'transform'

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

TypeError('Keyword argument not understood:', 'groups') in keras.models load_model

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

How to pass a trained model to KerasClassifier?

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

Extra trainable parameters in Keras based neural network

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

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

Other Categories