MNIST reads the data one-hot to create tansorboard data and stores the training results. %autosave 0 def reset_graph(seed=42): tf.reset_default_graph() tf.set_random_seed(seed) np.random.seed(seed) from

mnist 데이터를 one-hot으로 읽어들여서 tansorboard 데이터를 만들고 훈련 결과를 저장합니다. %autosave 0 def reset_graph(seed=42): tf.reset_default_graph() tf.set_random_seed(seed) np.random.seed(seed) from

Introduction: This is a post that explains a problem that I found during the development of Deep Neural Network (with Tensorflow) in order to do multi-label classification and the applicaton of the popular