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
I am new to deep learning and I have been trying to install tensorflow-gpu version in my pc in vain for the last 2 days. I avoided installing CUDA and cuDNN dri
I'm trying to train the model using pretrained faster_rcnn_inception_v2_coco. I'm using the following config file: model { faster_rcnn { num_classes: 37
I am doing multi class segmentation using UNet. My input to the model is HxWxC and my output is, outputs = layers.Conv2D(n_classes, (1, 1), activation='sigmoid'
Here is my code. from keras.optimizers import gradient_descent_v2 as SGD sgd=SGD(lr=0.01,momentum=0.9,decay=(0.01/25),nesterov=False) I get the following er
TF 2.x - just for the experience I tried with a simple experimental dataset - to show the problem: import numpy as np import tensorflow as tf import keras from
I want to disable a computation of several filters during Predict call with Tensorflow 2 and Keras. Do i have to modify the source code of Tensorflow to achieve
I need to use the librosa and tensorflow packages for a Neural Network audio classification project. librosa has a dependency on the numba package, which requir