pip install tensorflow
python
import tensorflow as tf
import numpy as np
import pandas as pd
python
data = pd.read_csv('data.csv')
# ...
# ...
python
model = tf.keras.models.Sequential([
tf.keras.layers.Dense(64, activation='relu', input_shape=(input_size,)),
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(num_classes, activation='softmax')
])
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(x_train, y_train, epochs=10, batch_size=32)
python
loss, accuracy = model.evaluate(x_test, y_test)
print('Test loss:', loss)
print('Test accuracy:', accuracy)
predictions = model.predict(x_new)
