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Вернуться к Natural Language Processing in TensorFlow

Отзывы учащихся о курсе Natural Language Processing in TensorFlow от партнера deeplearning.ai

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О курсе

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Лучшие рецензии

GS

26 авг. 2019 г.

Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!

AS

21 июля 2020 г.

Great course for anyone interested in NLP! This course focuses on practical learning instead of overburdening students with theory. Would recommend this to every NLP beginner/enthusiast out there!!

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301–325 из 937 отзывов о курсе Natural Language Processing in TensorFlow

автор: pavani.vippala

10 апр. 2020 г.

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30 окт. 2019 г.

автор: Mohammad M

24 авг. 2019 г.

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15 июля 2019 г.

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20 июля 2019 г.

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13 дек. 2021 г.

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25 янв. 2021 г.

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6 сент. 2020 г.

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11 мая 2020 г.

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7 авг. 2019 г.

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28 нояб. 2020 г.

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9 янв. 2022 г.

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23 апр. 2021 г.

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21 авг. 2020 г.

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7 мая 2020 г.

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3 мая 2020 г.

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18 нояб. 2019 г.

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26 авг. 2019 г.

автор: Atakan S

15 авг. 2019 г.

автор: Mahdi P

12 авг. 2019 г.