I am new to Tensorflow and deep leaning. I am trying to see how the loss decreases over 10 epochs in my RNN model that I created to read a dataset from kaggle w
tf.unique currently only works on 1D tensors. How can I find unique values in a 2D tensor. ip=tf.constant([[1,2,1],[3,4,1],[5,6,1],[1,2,1]]) #op should be = [
tf.unique currently only works on 1D tensors. How can I find unique values in a 2D tensor. ip=tf.constant([[1,2,1],[3,4,1],[5,6,1],[1,2,1]]) #op should be = [
Hey everyone this is my first question post. If I do something wrong or u need more information please just tell me I will try to give my best. I tried to creat
Do you know any elegant way to do inference on 2 python processes with 1 GPU tensorflow? Suppose I have 2 processes, first one is classifying cats/dogs, 2nd on
What does it mean to "unroll a RNN dynamically". I've seen this specifically mentioned in the Tensorflow source code, but I'm looking for a conceptual explanati
# lstm model import tensorflow as tf from numpy import mean from numpy import std from numpy import dstack from pandas import read_csv from tensorflow.keras.mod
How can I have python3.6 in tensorflow docker images. All the images I tried (latest, nighty) are using python3.5 and I don't want to modify all my scripts.
After I have saved a tensorflow model in HDF5 format, how can I find out what version of tensorflow it was built using?
My system has a GPU. When I run Tensorflow on it, TF automatically detects GPU and starts running the thread on the GPU. How can I change this? I.e. how can I r
https://www.youtube.com/watch?v=z1PGJ9quPV8&t=28s Here is the little project of Cancer dectection, and it has already offer the dataset and colab code, but
I'm trying to run the YoloV4 (Demo 5) in TensorRt demos repo on AWS ec2. I created ec2 VM with nvidia-gpu (with AMI - Amazon Linux 2 AMI with NVIDIA TESLA GPU D
I have my data in multiple pickle files stored on disk. I want to use tensorflow's tf.data.Dataset to load my data into training pipeline. My code goes: def _p
A gradient is a nested list of tensors. I want to get the total number of elements in the gradient, and record this number as an int. However, I don't know how
I've been having a bit of difficulty installing tensorflow onto my computer, and would like some advice on where to go from here. To be clear, I am trying to in
I've been trying to experiment with Region Based: Dice Loss but there have been a lot of variations on the internet to a varying degree that I could not find tw
I'm following the TensorFlow starter guide. It specifically said to enable eager execution on the sample project for iris (flower) classification. Import th
I have installed the GPU version of tensorflow on an Ubuntu 14.04. I am on a GPU server where tensorflow can access the available GPUs. I want to run tensorfl
I am implementing a CNN for an highly unbalanced classification problem and I would like to implement custum metrics in tensorflow to use the Select Best Model
I am fitting a multilabel classifier to (train_x, train_y) while monitoring the loss and accuracy on a validation set (val_x, val_y): classification_model.compi