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
iterative_process = tff.learning.algorithms.build_unweighted_fed_prox( model_fn, proximal_strength= 0.5, client_optimizer_fn=lambda: tf.keras.optim
I want to train a model with self-generated matrices (word vectors). My data have the following datatypes: print(type(X)) print(type(X[0])) print(type(X[0][0]))
I am a beginner learning deep learning by Keras. The ImageDataGenerator class in Keras and the flow_from_directory function made it easy to label images. But al
I am working on a problem where I need to apply some transformation to my dataset using the map function that tf.data.Dataset provides. The idea is to apply thi