I there. I just started with the machine learning with a simple example to try and learn. So, I want to classify the files in my disk based on the file type by making use of a classifier. The code ...
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I’m trying to do a 8-class classification. Here is the code: import keras import numpy as np from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers import Dropout, Flatten, Dense from keras import applications from keras.optimizers import SGD from keras import backend as K K.set_image_dim_ordering('tf') img_width, img_height = 48,48 top_model_weights_path ...
I have the following array: X = np.array([image_array_to_vector1,image_array_to_vector2,image_array_to_vector3,image_array_to_vector4]) A print out of X looks as follows: [array([167, 167, 169, ..., 1, 1, 1], dtype=uint8) array([42, 43, 43, ..., 41, 36, 34], dtype=uint8) array([0, 0, 0, ..., 0, ...
This question already has answers here: Concatenating two one-dimensional NumPy arrays ...