- TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.Complete, end-to-end examples to learn how to use TensorFlow for ML...Explore tools to support and accelerate TensorFlow workflows.
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- Takipçi:599 bin
- Hakkında:Welcome to the official TensorFlow YouTube channel. Stay up to date with the latest TensorFlow news, tutorials, best practices, and more!
- TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production. ... TensorFlow 2.0 is finally here.
- TensorFlow programs use a data structure called tensor to represent all the data. Any type of data you plan to use for your model can be stored in Tensors.
- İster makine öğrenimi üzerine çalışıyor olun ister bir yapay zeka meraklısı olun, TensorFlow’u mutlaka duymuşsunuzdur.
- Note: TensorFlow has changed quite a lot since this post was originally written in 2018. The fundamental concepts in this post still mostly transfer to TF2.
- Patching guidelines. Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities
- Issues:1.9k
- Last commit:28 June 2024
- 1.5 TensorFlow Lite. 1.6 Pixel Visual Core (PVC). 1.7 Uygulamalar. 1.8 Machine Learning Crash Course (MLCC). 1.9 TensorFlow 2.0.
- Description. TensorFlow provides multiple APIs.The lowest level API, TensorFlow Core provides you with complete programming control.
- It provides all the tools we need to create neural networks. We can use TensorFlow to train simple to complex neural networks using large sets of data.
TensorFlow
Kısa bilgiler
- Yayın tarihi:2015
- Platformlar:
Genel bilgiler
Makine öğrenimi için ücretsiz ve açık kaynaklı bir yazılım kütüphanesidir. Bir dizi görevde kullanılabilir, ancak derin sinir ağlarının eğitimi ve çıkarımına özel olarak odaklanmaktadır.
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