I have a group of non zero sequences with different lengths and I am using Keras LSTM to model these sequences. I use Keras Tokenizer to tokenize (tokens start
I am working on a neural network to recognize handwritten digits using the MNIST digits dataset. I wanted to use ImageDataGenerator from Keras to see if I could
I'm using tensorflow 1.15.0 in docker container and have issue in importing keras sub-modules. from tensorflow import keras import tensorflow.keras.backend as
When attempting to import Sequential from keras.models, I get the error shown below. I have already uninstalled and reinstalled tensorflow through PIP, but am n
A Python Tensorflow Keras app runs Azure VM Windows Server 2019 Datacenter. I copied the requirements.txt file and install on a 2nd VM. On the statement "impor
I have been having this error, and I don't know why, especially since I am following someone's code exactly and the person had no error when running this img_sh
I was following Transfer learning with YAMNet for environmental sound classification tutorial. Here is the link: https://www.tensorflow.org/tutorials/audio/tran
I tried a sample code for CNN application on MNIST data classification from the book : from keras import layers from keras import models model = models.Sequent
I am building a simple CNN for binary image classification, and the AUC obtained from model.evaluate() is much higher than AUC obtained from model.predict() + r
❓Question Hi, Following steps were taken I trained yolo tiny on a custom data set with just one class Converted .weights(darknet) to .h5 (keras) (verif
im trying to deploy a keras project to heroku but pushing to the repository master branch seems to be problematic for me as the following error is reported ever
I am building a MLP using TensorFlow 2.0. I am plotting the learning curve and also using keras.evaluate on both training and test data to see how well it perfo
I'm using Google's Colab to run the Deep Learning codes from the Book " Deep Learning with python" by François Chollet. The 1st exercise is to use the mn
I trained my tensorflow model on images after convert it to BatchDataset IMG_size = 224 INPUT_SHAPE = [None, IMG_size, IMG_size, 3] # 4D input model.fit(
I have a simple code, which DOES work, for training a Keras model in Tensorflow using numpy arrays as features and labels. If I then wrap these numpy arrays usi
How to run keras.model.fit() in graph not with eager execution...?? I tried to run my model in graph by using tf.compat.v1.disable_eager_execution(), but the c
When I try to use a custom activation function in keras (2.2.5), I create a new activation function gelu. add it in activations.py : from . import backend as K
So about a week ago I posted this question: Issues running a Keras model with custom layers. The suggestion there was to try to make this question smaller and t
""" Defining two sets of inputs Input_A: input from the features Input_B: input from images my train_features has (792,192) shape my train_images has (792,28,28
Say I have a Custom Layer : class Custom_Layer(keras.layers.Layer): def __init__(self, **kwargs): self.w_0 = tf.Variable(tf.random_uniform_initializ