How to construct an equivalent multivariate normal distribution in tensorflow-probability, using TransformedDistribution and tfb.ScaleMatvecLinearOperator? I'm
I am getting the following error message when trying to run this AlexNET python code. Traceback (most recent call last): File "C:\Users\PycharmProjects\Local-
I trained my model with frozen backbone like: model.get_layer('efficientnet-b0').trainable = False Now, I unfreeze backbone, compile model, start training and
I am looking for a solution for a problem that has arisen when building a generic ANN for image classification in R. What I want to do is either: Design and com
I am working on image compression problem, i want to convert the images from 3 channel to 1 channle , i used tf.image.rgb_to_grayscale(img_data_array, name=None
I am new to TF, so what is the general process of finding the angle of a 2D image? What I want to do is find the angle of rotation a particular object real-time
I have a dataset of images on Dropbox it is in uncompressed folders, and I want to train a a model using google colab. How can I tell Colab where the dataset is
I got below error message when I run model_main_tf2.py on Object Detection API: Traceback (most recent call last): File "/content/models/research/object_detec
I am working on image classification using CNN. I am using below source code for that task. I am stuck with this error : AttributeError: 'NoneType' object has
I am using a Premade code that works on colab.research.google.com but when I downloaded it locally and used Jupyter I got this error RuntimeError: class '__torc
I have a CNN model, which is basically processing images and classifying them at the end. There are four class labels, which are UN, D1, D2 and D3. If you look
I am trying to start using tensorflow on my M1 Mac. However, I only get the following message when I try to import tensorflow Python 3.8.5 (v3.8.5:580fbb018f, J
I try to find a proper solution to convert a rgb mask from "cam vid" dataset to categorical mask. I have the list of rgb value and corresponding label. What is
I am trying to train a model based on the U-Net architecture. I am using two data generators (one for training, the other one for validation). However, whatever
I am training convolutional autoencoder and I have this code for loading data (images): train_ds = tf.keras.preprocessing.image_dataset_from_directory( 'pat
I am trying to write a custom metric in keras like this: def C_index1(E,T): T = T.reshape(len(T),1) T_ind = T > T.T E_ind = E.reshape(len(E),1) E_ind
I am trying to use TensorFlow Hub in Azure ML Studio I am using the kernel Python 3.8 PT and TF And I installed a few modules: !pip install bert-for-tf2 !pip
I'm a beginner of data-science and by now, I'm trying to migrate old code keras cpu modelling to gpu-tensorflow. fyi: I'm following instruction on prof.jeffheat
I plan to transfer my Keras model to embedded C code. In order to do that, I'm first validating in python whether my calculations are correct. There are some er
I am trying to use Keras for an attention mechanism in a machine translation using an LSTM network. However, I get a TypeError exception when in my code. TypeEr