Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
activation='sigmoid')) optimizer = tf.keras.optimizers.SGD() classifier.compile(optimizer=optimizer, loss='mean_squared_error', metrics=['accuracy']) classifier.fit(X_train_std, y_train, epochs=10, batch_size=32) predictions = classifier.predict(X_test_std) prediction = tf.argmax(predictions,