@@ -25,7 +25,7 @@ Keras [1]是一个受欢迎的深度学习库,在撰写本文时有 370,000
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@@ -25,7 +25,7 @@ Keras [1]是一个受欢迎的深度学习库,在撰写本文时有 370,000
我们选择`tf.keras`作为本书的首选工具,因为它是致力于加速深度学习模型实施的库。 这使得 Keras 非常适合我们想要实用且动手的时候,例如,当我们探索本书中的高级深度学习概念时。 由于 Keras 旨在加速深度学习模型的开发,培训和验证,因此在有人可以最大限度地利用图书馆之前,必须学习该领域的关键概念。
我们选择`tf.keras`作为本书的首选工具,因为它是致力于加速深度学习模型实施的库。 这使得 Keras 非常适合我们想要实用且动手的时候,例如,当我们探索本书中的高级深度学习概念时。 由于 Keras 旨在加速深度学习模型的开发,培训和验证,因此在有人可以最大限度地利用图书馆之前,必须学习该领域的关键概念。
本书没有涵盖完整的 Keras API。 我们将仅介绍解释本书中选定的高级深度学习主题所需的材料。 有关更多信息,请查阅 Keras 官方文档,该文档可在 [https://keras.io](https://keras.io) 或 [https://www.tensorflow.org/guide/keras/overview [](https://www.tensorflow.org/guide/keras/overview)。
本书没有涵盖完整的 Keras API。 我们将仅介绍解释本书中选定的高级深度学习主题所需的材料。 有关更多信息,请查阅 Keras 官方文档,该文档在[这里](https://keras.io)或[这里](https://www.tensorflow.org/guide/keras/overview)。
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