e9aa6a5ebe3468f6413ef15ddde128725139abe9,tests/keras/test_callbacks.py,,test_TensorBoard,#Any#,325

Before Change

    // fit with validation data
    model.fit(X_train, y_train, batch_size=batch_size,
              validation_data=(X_test, y_test), callbacks=cbks, epochs=3)

    // fit with validation data and accuracy
    model.fit(X_train, y_train, batch_size=batch_size,

After Change

            i += 1
            i = i % max_batch_index

    inp = Input((input_dim,))
    hidden = Dense(num_hidden, activation="relu")(inp)
    hidden = Dropout(0.1)(hidden)
    output = Dense(num_class, activation="softmax")(hidden)
    model = Model(inputs=inp, outputs=output)
    model.compile(loss="categorical_crossentropy",
                  optimizer="sgd",
                  metrics=["accuracy"])

Instances