I am Training a cnn in Keras at the moment. Now I want to log the history of the training process for later visualizations, which I do with: history_callback =
I am running an Apple Macbook with 16 GB of RAM and the M1 chip. I am trying to import Keras through the command: from tensorflow.keras.models import Sequential
I'm trying to debug my tflite model, that uses custom ops. I've found the correspondence between op names (in *.pb) and op ids (in *.tflite), and I'm doing a la
I trained a model using Transfer Learning(InceptionV3) and when I tried to predict the results it shows: ValueError: cannot reshape array of size 921600 into sh
"after converting the dataset to the tfrecord file format, I tried to train the model I created with it, but I couldn't convert it to the input format suitable
I'm trying to run saved serving models in my local machine. However, it takes string tensor as input, and I'm having trouble converting the images to the correc
I have TensorFlow (2.8.0) installed and running on my Apple Silicon M1 MacBook. But facing dependency error on trying to install tensorflow-federated with the b
The original question was in regard to TensorFlow implementations specifically. However, the answers are for implementations in general. This general answer is
i have been getting valueError issue. Currently using python3.9.11., keras2.8. if loss_init=="r2": parallel_model.compile(loss=custom_r2_loss, o
I know that output of keras layers (like keras.layers.Dense()) produce so-called 'keras tensors'. Also, there are 'tensorflow tensors' that are produced by tens
We can pass the training = False argument while calling the pre-trained model when using Keras Functional API as shown in this tutorial. How to implement the sa
It's weird, I wrote a functioning program on a Jupyter notebook and I wanted to have it in a normal python file with VSCode aswell. However, while copying and p
I have cloned https://github.com/akTwelve/Mask_RCNN and run the demo code. Everything works fine and runs correctly but the image processing part has incorrect
I am doing classification of citrus leaves dataset. I came up with a very basic model and ran it in Jupyter notebook on my machine, using anaconda. Exact same m
I'm having some trouble with a pretty basic model. Am unable to create a pre-processing layer that simply normalizes all features. It is likely that my concept
I am doing a bazel build for my project,i created a java_library rule and used at different places. but I am having this cycle in dependency graph: ERROR:
Image classification Problem I have two classes of images. Fake Real Dataset splitting detail is below. Total Training FAKE Images 3457 Total
I'm too new with tensorflow and keras, actually I'm trying first to install it correctly. I used Anaconda to make it easier. My question is probabily related to
I am having trouble loading large model after saving. have tried all below saveing methods: tf.saved_model.save(model, model_save_path) model.save(model_save_pa
RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd Traceback (most recent call last): File "Tensorflow/scripts/generate_tfre