Hello guys i am a biggner at computer vision and classification, i am trying to train a model using cnn method with tensorflow and keras, but i keep getting the
I'm trying to split DNN Models in order to execute part of the network on the edge and the rest on the cloud. Because it has to be cross-platform and work with
After training a model using Google Colab, I downloaded it using the following command (inside Google Colab): model.save('model.h5') from google.colab import fi
I currently have an LSTM which uses sequence length as input, but this only allows the LSTM to predict when the input length is equal to the used sequence lengt
I defined the following model, which has two distinct outputs: input_layer = keras.layers.Input(shape = (1, 20), name = "input_features") # Shared layers hidde
I mounted the files from google drive correctly with the following code. from google.colab import drive drive.mount('/content/gdrive') base_path = "/content/gdr
I am using tensorflow 2.4 and Cuda 11. I've build a CNN model from scratch using tensorflow and frozen it to create the .pb and .pbtxt file.Now I am trying to m
Manipulating tf.data.Dataset I get a behavior, I am not able to understand the origin. I am manipulating a tf.data.Dataset a simple integer buffer where I want
How do I shuffle the elements of tf.data.Dataset within a certain range. Having an input array, with shape = (10,), in the first 5 elements would be shuffled wi
I was trying to load the checkpoints weights to the trained model and got the following error message. Any idea how to solve it? File "/src/trainer/loaders.
I'm trying to save a model which is a composite model of composite models. The first model is a sequential model of two sequential models. Both of the two sub-m
This is the code from https://keras.io/examples/vision/image_classification_from_scratch/ import tensorflow as tf from tensorflow import keras from tensorflo
I'm trying to train a UNet, but for some reason I get the following error: Traceback (most recent call last): File "<ipython-input-54-b56497e81356>", l
I'm a beginner of deeplearning.I copied the code with python3 in colab. Code is from the book called"Book - Practical Deep Learning for Cloud, Mobile & Edge
My Code : h_table = tf.lookup.StaticHashTable( initializer=tf.lookup.KeyValueTensorInitializer( keys=[0, 1, 2, 3, 4, 5], values=[12.3,
How to apply the initializer to the tf.Variable function? Am I on the right track? def initialize_parameters(): initializer
Currently my dataset looks like: feat_1 = tf.random.uniform( shape=[8000,1], minval=0, maxval=1, dtype=tf.dtypes.float32, seed=1123, nam
I have a keras model with 5 outputs. My labels include 5 values to compare these to, but also 25 additional values representing a correlation matrix for the 5 v
I designed a CNN for a multitask classification in keras, where I have one input and two different class of classes in output. I compiled the model in this way
I'm using raspberry model 3B+ , I made a venv and then tried to install tensorflow but I get these 2 errors ERROR: Could not find a version that satisfies the r