So I have a pandas data frame similar to this: col1 col2 col3 [0,1,0] 1 0 [1,0,0] 0 1 and I want to unpack it so that it becomes 5 columns as apparently tenso
Scenario 1 My custom environment has the following _action_spec: self._action_spec = array_spec.BoundedArraySpec( shape=(highestIndex+1,), dtype=np.
I have recently started working in this field. And currently the requirement is to train Yolov3 on a custom dataset where images are of 8k resolution. Is there
When I import from tensorflow.keras.preprocessing import image in a single python file it works perfectly. Even in python interpreter console it is imported suc
I'm trying to test a compression technique in federated learning with non-IID using this API tff.simulation.datasets.build_single_label_dataset(), following the
I'm a newbie to Tensorflow, I've done many models but today when calling predict I get this error : ValueError: Exception encountered when calling layer "sequen
I'm having multiple errors while running this VGG training code (code and errors shown below). I don't know if its because of my dataset or is it something else
I need to avoid this error: tensorflow.python error.framework.errors_impl.InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device
I am trying to write a model that outputs a vector of length N consisting of labels -1,0 and 1. Each of the labels depicts one of three decisions for the system
according to the instructions in Colab I could get buffer & even take a pd.DataFrame from it (file is just example)... # ... authentification file_id =
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