I'm trying to reconstruct in Python the Gradient Transformation Network model in the paper titled : Single Image Super-Resolution Based on Deep Learning and Gra
I can get the model to train effectively. However, I am now having a problem with it comes to loading the model and testing it on new data again. I was able t
I've been working a food image classification model. I started off with the TensorFlow tutorial and modified the model (code below). The model
I want to add a Normalized Mean Error (NME) metric to model using TF. The NME is commonly used in the evaluation of the face alignment tasks. For that, I use th
Did anyoe have a convincing solution to make custom_binarycrossentropy work? I tried all possible methods (even making the whole training data size same as the
I am working on a simple neural network in Keras with Tensorflow. There is a significant jump in loss value from the last mini-batch of epoch L-1 to the first m
I am trying to create my labelmap.pbtxt, but the file is not created. Here's the code Train_Annotations_Path = "C:/Users/JAAD_dataset/Workspace/annotations/Anno
I am writing masters thesis about deeplearning and have a problem probably about library. Below is the error: AttributeError: module 'tensorflow.compat.v2' has
Using cppflow, I have a 224x224 jpeg that I am trying to resize to 128x128. auto input = cppflow::decode_jpeg(cppflow::read_file(std::string(filename))); auto r
I've been trying to run tensorflow in my gpu for some long days but I've been not able to accomplish it. I know that there are several questions with similar qu
Task is to determine which of 3 classes does an image belongs to, or none. I received a ready model. EfficientNet B4 with ImageNet weights had transfer learnin
I want to load a machine learning model created with TensorFlow into my C++ Audio Application made with JUCE6. In order to use TensorFlow inside C++, I am using
This is probably going to be a stupid question but I am new to deep learning and TensorFlow. Here I have converted my deep learning model to TF-lite, after that
I am trying to train my model (Image classification) using Tensorflow. I keep getting an error when I try to run the following cell: hist = model.fit(
I am trying to train my model (Image classification) using Tensorflow. I keep getting an error when I try to run the following cell: hist = model.fit(
I wasn't expecting this to happen. The relevant code pieces are: import os import tensorflow as tf os.environ['TF_XLA_FLAGS'] = '--tf_xla_enable_xla_devices' .
This program works on Unix and I'm trying to transition it to windows. It uses multiprocessing and I understand it's an issue with being forced to use spawning
This program works on Unix and I'm trying to transition it to windows. It uses multiprocessing and I understand it's an issue with being forced to use spawning
I'm working on this project where all the data comes preprocessed and ready as a tensorflow datasets which looks like this: <MapDataset shapes: {input_ids: (
I know this problem has been answered previously in the link below,but it does not apply to my situation.(Tensorflow - ValueError: Failed to convert a NumPy arr