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[Tensorflow 2][Keras][Custom and Distributed Training with TensorFlow] Week1 - Gradient Tape Basics 본 포스팅은 다음 과정을 정리 한 글입니다. Custom and Distributed Training with TensorFlow https://www.coursera.org/learn/custom-distributed-training-with-tensorflow?specialization=tensorflow-advanced-techniques Custom and Distributed Training with TensorFlow deeplearning.ai에서 제공합니다. In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the ... 무료로 등록하십시.. 2021. 7. 27.
[Tensorflow 2][Keras][Custom and Distributed Training with TensorFlow] Week1 - Gradient Tape, Gradient Descent using Gradient Tape 본 포스팅은 다음 과정을 정리 한 글입니다. Custom and Distributed Training with TensorFlow https://www.coursera.org/learn/custom-distributed-training-with-tensorflow?specialization=tensorflow-advanced-techniques Custom and Distributed Training with TensorFlow deeplearning.ai에서 제공합니다. In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the ... 무료로 등록하십시.. 2021. 7. 27.
[Tensorflow 2][Keras][Custom and Distributed Training with TensorFlow] Week 1 - Working with Tensors in Eager Mode 본 포스팅은 다음 과정을 정리 한 글입니다. Custom and Distributed Training with TensorFlow https://www.coursera.org/learn/custom-distributed-training-with-tensorflow?specialization=tensorflow-advanced-techniques Custom and Distributed Training with TensorFlow deeplearning.ai에서 제공합니다. In this course, you will: • Learn about Tensor objects, the fundamental building blocks of TensorFlow, understand the ... 무료로 등록하십시.. 2021. 5. 23.
[Tensorflow 2][Keras] Week 4 - Assignment: Create a VGG network 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlow www.coursera.org/specializations/tensorflow-advanced-techniques TensorFlow: Advanced Techniques deeplearning.ai에서 제공합니다. Expand your skill set and master TensorFlow. Customize your machine learning models through four hands-on courses! 무료로 등록하십시오. www.coursera.org 지난 시간 리뷰 2021.04.06 - [Artificial Intelligence/Ker.. 2021. 4. 12.
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