I am working with keras for text classification. After pre-processing and vectorization my train and validation data details is like bellow: print(X_train.shape
If the question seems to dumb, it is because I am new to TensorFlow. I was implementing a toy endocer-decoder problem using TensorFlow 2’s TFA seq2seq imp
After a lot of research, it seems like there is no good way to properly stop and resume training using a Tensorflow 2 / Keras model. This is true whether you ar
From the Keras documentation: dropout: Float between 0 and 1. Fraction of the units to drop for the linear transformation of the inputs. recurrent_dropout: F
I am trying to write a Custom Model in which I am writing a custom train_step function I am creating a 'tf.data.Dataset` from a Custom Datagenerator like tds =
I'm trying to build a seq2seq model to predict sequence. The most basic model was built, but I'm having trouble with understanding what 'metric=['accuracy']' me
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