I am trying to run a yolov4 + DeepSORT object tracker on tensorflow. However, when I attempt to run save_model.py to convert the darknet weights of yolov4 to a
I want to replicate the torch.gather() function in TensorFlow 2.X. I have a Tensor A (shape: [2, 4, 3]) and a corresponding Index-Tensor I (shape: [2,2,3]). Usi
I'm trying to use Imagenet V2 with transfer-learning for multiclass classification (6 classes), but getting the following error. Can anyone please help? ValueEr
I have a custom preprocessing layer which basically takes the input and applies the preprocessing function of a pretrained network coming from tensorflow.keras.
I have the Coral AI usb TPU and I have succesfully run the Getting Started example, deploying the already compiled / trained example model (image classification
This question relates to the optimal setup for a multiple-input multiple-output Keras (Tensorflow) model given corresponding numpy arrays. For example, suppose
I need to use the smartwatch_gestures from Tensorflow datasets and here is my code: pip install --upgrade tfds-nightly import tensorflow_datasets as tfds impor
I'm trying to use Tensorflow for some federated learning purposes, but I can't successfully install it using pip. pip install tensorflow Error message I get is
In the following code, the Jacobian I get is None. Why is that? a1 = tf.constant(2.0) a2 = tf.constant(1.5) with tf.GradientTape(persistent=True) as tape:
I was creating a mobile app that can recognize images using flutter and I got this runtime error when testing the app. Caused by: java.lang.IllegalArgumentExcep
I'm using mnist dataset for my project on VsCode IDE. Following is the complete code. what is it that I'm doing wrong and how can I solve this error? # Import L
i'm pretty new to machine learning. I followed a tutorial to classify if the user is similing or not. I created this code: def get_model(input_size, classes=7):
I'm a beginner learning deep learning and trying to do semantic segmentation problems on histologic image using python and TensorFlow. There is 2 main file : Im
I am using keras-tuner in order to obtain the best set of hyperparameters for my model. I can reproduce my problem for a random dataset: def generate_data(n_win
Model Card --> Model Card toolkit I want to install a model card toolkit in my python virtual environment through this command: pip install model-card-toolk
I have a keras model trained for occupancy detection of parking spaces, which I load using keras.models.load_model(PATH_TO_MODEL). The input for the model is a
I've tried to run a code example (hosted on keras.io) regarding the handwriting recognition task. While playing with the code, I faced a TensorFlow-related issu
I'm implementing a UNet neural network but I'm having some issues while importing libraries. I found a solution for a couple of them, but I still have a problem
I have a very large file and I want to divide it into smaller ones for training. I've read about pickle files, so I split the large file into training-validatio
I am training a DCN model for ranking purpose. After training, I use model.save_weights(filepath) to save the weights. And I load the weights using model.load_w