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 course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
Этот курс входит в специализацию ''Профессиональная сертификация 'TensorFlow-разработчик от deeplearning.ai''
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Об этом курсе
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаЧему вы научитесь
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Приобретаемые навыки
- Inductive Transfer
- Augmentation
- Dropouts
- Machine Learning
- Tensorflow
Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Exploring a Larger Dataset
Augmentation: A technique to avoid overfitting
Transfer Learning
Multiclass Classifications
Рецензии
- 5 stars78,70 %
- 4 stars15,82 %
- 3 stars3,63 %
- 2 stars1,03 %
- 1 star0,79 %
Лучшие отзывы о курсе CONVOLUTIONAL NEURAL NETWORKS IN TENSORFLOW
Excellent material superbly presented by world-class experts.
Sorry if this sounds sycophantic, but this series contains some of the best courses I've encountered in50+ years of learning.
great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
This course awesome, but the notebook from coursera "i think" doesn't support any experiment we want, so we have to do it on google colab. But great, limitation is okay as long it's still graded
If you are looking for a course to build up your ML/DL coding skills, this is a very interesting and easily explained course. Highly recommended for any learner in the field of DL/Computer Vision.
Профессиональная сертификация 'TensorFlow-разработчик от deeplearning.ai': общие сведения

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