I have selected this dataset: https://www.kaggle.com/karangadiya/fifa19 Now, I would like to convert this CSV file into the federated dataset to fit in the mod
Coming from recommender systems, precision@k is a popular metric. precision@k = number of relevant predictions in top k / k On the tensorflow docs for tf.kera
In version 0.11.0 of Tensorflow Probability, I can define a TransformedDistribution as follows, indicating event and batch shape: mvn = tfd.TransformedDistribut
In version 0.11.0 of Tensorflow Probability, I can define a TransformedDistribution as follows, indicating event and batch shape: mvn = tfd.TransformedDistribut
I'm trying to modify a jupyter notebook to run on colab. It's from a somewhat older repo with known compatibility issues for tensorflow/keras versions after ~2.
I am using Docker and Docker-Compose on Ubuntu 20. The application I am deploying on container is using Tensorflow. Docker-Compose build is able to be executed
The code is like this: import tensorflow as tf from keras_contrib.layers import CRF from tensorflow import keras def create_model(max_seq_len, adapter_size=64
I created a network, but got the error: AttributeError: in user code: C:\Users\LocalAdmin\.conda\envs\newenvt\lib\site-packages\keras_contrib\metrics\crf_accura
I am trying to install TF but pip is failing to find any of it's versions. pip install tensorflow returns ERROR: Could not find a version that satisfies the req
I was deploying my Tensorflow Lite model into my Android Studio. The application does run but when after I took a picture and tried to predict the result, the a
What is the tf.keras equivalent of encoder.get_feature_names found in sklearn? As shown shown in this SO question Need this to get all the one-hot encoded featu
Using tensorflow 2.4.1 When I run my program, I'm getting this error and can't use my gpu. I'm using CUDA 11.0, cudnn 8.0 2021-02-07 03:36:18.132005: I tensorfl
I just got a Jetson Nano and created my SD-Card with Jetpack 4.6.1. After that I installed TensorFlow like this: [Tensorflow-Install][1] Than I wanted to create
I want to reproduce a method from a paper, the code in this paper was written in tensorflow1.0 and I want to rewrite it in pytorch. A brief description, I want
I am following this course : TensorFlow Developer Certificate in 2022: Zero to Mastery This is the following code : # Set random seed tf.random.set_seed(42) #
I am running this simple code on Spyder 3.3 with Python 3.7 and Tensorlow 2.0: import tensorflow as tf print(tf.__version__) When I try to run it again in th
I have a seasonal timeseries dataset containing 3 target variables and n feature variables. I am trying to apply a PCA algorithm before feeding the data to a si
I am following this tutorial to train my own models. https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/ I followed all the steps exactly
I'm trying to use a modified version of this custom loss and I'm getting the error below InvalidArgumentError: The second input must be a scalar, but it has sh
I want to use the Segmentation_Models UNet (with ResNet34 Backbone) for uncertainty estimation, so i want to add some Dropout Layers into the upsampling part. T