본문 바로가기

FunctionalAPI6

[Tensorflow 2][Keras] Week 4 - Using the Model class to simplify complex architectures 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlow www.coursera.org/specializations/tensorflow-advanced-techniques 지난 시간 리뷰 2021.03.30 - [Artificial Intelligence/Keras] - [Tensorflow 2][Keras] Week 4 - Complex Architectures with the Functional API [Tensorflow 2][Keras] Week 4 - Complex Architectures with the Functional API 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, L.. 2021. 4. 5.
[Tensorflow 2][Keras] Week 4 - Complex Architectures with the Functional API 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlow www.coursera.org/specializations/tensorflow-advanced-techniques 지난 시간 리뷰 2021.03.27 - [Artificial Intelligence/Keras] - [Tensorflow 2][Keras] Week 3 - Assignment: Custom Layers [Tensorflow 2][Keras] Week 3 - Assignment: Custom Layers 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlo.. 2021. 3. 30.
[Tensorflow 2][Keras] Programming Assignment: Multiple Output Models using Keras Functional API 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlow www.coursera.org/specializations/tensorflow-advanced-techniques Week 1: Multiple Output Models using the Keras Functional API Welcome to the first programming assignment of the course! Your task will be to use the Keras functional API to train a model to predict two outputs. For this lab, you will use the Wine Qua.. 2021. 3. 13.
[Tensorflow 2][Keras] Week 1 - Siamese Network 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions with TensorFlow www.coursera.org/specializations/tensorflow-advanced-techniques Siamese network: a Multiple-Input model, References about the Siamese network, Coding a Multi-Input Siamese network, Reference "The distance between two vectors", Siamese network code walkthrough, Siamese network 이전 시간 포스팅이 보고 싶으시면 아래 링크를 클릭해 주시기 바랍니다.. 2021. 3. 13.
300x250