Machine Learning, Formula 1, Neural Networks, Signal Processing, AI.
layer keras.layers.Dense(1, activation="sigmoid") ]) # compiling the network optimizer = keras.optimizers.Adam(learning_rate=0.000_1) model.compile(optimizer=optimizer, loss="binary_crossentropy", metrics=["accuracy"]) model.summary() # train the network history = model.fit(inputs_train,