TypeError: __init__() takes from 2 to 3 positional arguments but 4 were given

Advertisements I want to use scaled_input = Rescaling(1./255, 0.0, "rescaling")(input_) to rescale the dataset including 600 images with 5 labels but it got error: scaled_input = Rescaling(1./255, 0.0, "rescaling")(input_) TypeError: __init__() takes from 2 to 3 positional arguments but 4 were given Here is all the code: import os import random import warnings warnings.filterwarnings("ignore") import… Read More TypeError: __init__() takes from 2 to 3 positional arguments but 4 were given

What is the purpose of 'batch_size' here and how can it be defined for other datasets?

Advertisements I have been going through this tutorial until these lines: batch_size = 32 img_height = 180 img_width = 180 train_ds = tf.keras.utils.image_dataset_from_directory( data_dir, validation_split=0.2, subset="training", seed=123, image_size=(img_height, img_width), batch_size=batch_size) I know what a batch file is, but I don’t really understand how it is used here and what the value of batch_size depends on.… Read More What is the purpose of 'batch_size' here and how can it be defined for other datasets?

KerasClassifier error when trying to run a LST Model

Advertisements I’m trying to import KerasClassifier into VScode but i keep getting this error ModuleNotFoundError Traceback (most recent call last) Cell In[7], line 1 1 from tensorflow.keras.wrappers.scikit_learn import KerasClassifier ModuleNotFoundError: No module named ‘tensorflow.keras.wrappers’ Does anyone know a way to fix it or another way around it? Here’s my full code for context: import pandas… Read More KerasClassifier error when trying to run a LST Model

only integer scalar arrays can be converted to a scalar index numpy

Advertisements I found keras tutorial and when was following it got error. train_df = pd.read_csv("train.csv") test_df = pd.read_csv("test.csv") print(f"Total videos for training: {len(train_df)}") print(f"Total videos for testing: {len(test_df)}") center_crop_layer = layers.CenterCrop(IMG_SIZE, IMG_SIZE) def crop_center(frame): cropped = center_crop_layer(frame[None, …]) cropped = cropped.numpy().squeeze() return cropped # Following method is modified from this tutorial: # https://www.tensorflow.org/hub/tutorials/action_recognition_with_tf_hub def load_video(path,… Read More only integer scalar arrays can be converted to a scalar index numpy

Training a tensorflow model with an intermediate function call in training loop

Advertisements I am trying to train a simple neural network where the input data is taken from a matlab simulink simulation and the output is then fed back into a different matlab simulink simulation. My code is as follows: import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers import matplotlib.pyplot as plt… Read More Training a tensorflow model with an intermediate function call in training loop

cannot import name 'binary_weighted_focal_crossentropy' from 'keras.backend'

Advertisements im trying to import categorical_dqn when i try the following from tf_agents.agents.categorical_dqn import categorical_dqn_agent i get ImportError: cannot import name ‘binary_weighted_focal_crossentropy’ from ‘keras.backend’ (C:\Users\tgmjack\anaconda3\lib\site-packages\keras\backend.py) the advice i find around the internet Error importing binary_weighted_focal_crossentropy from keras backend: Cannot import name is to try importing this stuff first from tensorflow import keras from tensorflow.keras import… Read More cannot import name 'binary_weighted_focal_crossentropy' from 'keras.backend'