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import tensorflow as tf |
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from tensorflow import keras |
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from keras import layers |
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from keras import activations |
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from keras.datasets import mnist |
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from keras.utils import to_categorical |
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from keras.models import Sequential |
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import numpy as np |
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import matplotlib.pyplot as plt |
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from sklearn.metrics import confusion_matrix |
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import pandas as pd |
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import gradio as gr |
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from gradio import Interface |
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import tensorflow as tf |
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from tensorflow import keras |
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from tensorflow.keras import datasets, layers, models |
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import numpy as np |
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import pandas as pd |
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import matplotlib.image as mpimg |
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X_train = pd.read_csv("demo/csvTrainImages 60k x 784.csv") |
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print('X_train shape', X_train.shape) |
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