I am building Pre trained inception model for image classification in keras i am trying to produce tensorboard but getting errors like "Unable to create directo
I am struggling to install keras on my Rstudio version 2021.09.2 Build 382 (R version 3.6.0 (2019-04-26)) on Linux Centos 7. I am having this error message: ERR
I want to use Conv1D for making dilated convolution network to a sequential dataset. So I tried Conv1D with Boston dataset. from tensorflow.python.keras.layers
I am working on a CNN model running through a dataset of images, where I have one set of convolution layers, then two sets of dense layers for outputting age an
I am trying to convert a keras model to tpu model in google colab, but this model has another model inside. Take a look at the code: https://colab.research.goo
I was trying to build a model with the Sequential API (it has already worked for me with the Functional API). Here is the model that I'm trying to built in Sequ
I know that the input_shape for Inception V3 is (299,299,3). But in Keras it is possible to construct versions of Inception V3 that have custom input_shape if
I am trying to import Keras but I get the following error: ImportError: cannot import name 'adam' from 'keras.optimizers' (/usr/local/lib/python3.8/dist-package
I am trying to import Keras but I get the following error: ImportError: cannot import name 'adam' from 'keras.optimizers' (/usr/local/lib/python3.8/dist-package
I have a Win10 OS, with Anaconda 3.6 installed, and a friend told me to install keras by using a specific conda command. Without reading any o
I just read about the Keras weight initializers in here. In the documentation, only different initializers has been introduced. Such as: mode
I am wondering if there is an easy way of creating a way of triggering early stopping in Keras based on user input rather than monitorization of any particular
I'm starting to study the tensorflow with the image classification sample which is the first sample on the tensorflow official document. It creates the Keras Se
Below is my code: model = Sequential([ Dense(32, input_shape=(32,), activation = 'relu'), Dense(100, activation='relu'), Dense(65, input_shape=(65
I have trained a model with keras and saved it, can I see what the computed metrics during training were, after I load back the mode with keras.models import lo
I'm using the following generator: datagen = ImageDataGenerator( fill_mode='nearest', cval=0, rescale=1. / 255, rotation_range=90, width_sh
I am trying to build a CNN model to recognise human sketch using the TU-Berlin dataset. I downloaded the png zip file, imported the data to Google Colab and the
I have a flask application that I would like to run it on an EC2 instance and TensorFlow is needed cause it is image classification. However, after the necessar
Here is my code skeleton: def build_model(x, y): model = tf.keras.models.Sequential() model.add(tf.keras.layers.Dense(1, activation='relu')) model.
I am trying to import import tensorflow.python.keras.applications but it gives the bellow error: ModuleNotFoundError: No module named 'tensorflow.python.keras.