tensorflow 25 [Tensorflow 2][Keras][Custom Models, Layers, and Loss Functions with TensorFlow] Week 5 - Built-in Callbacks/ tensorflow callback의 모든 것/keras callback 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 2021.04.12 - [Artificial Intelligence/Keras] - [Tensorflow 2][Keras] Week 4 - Assignment: Create a VGG network [Tensorflow 2][Keras] Week 4 - Assignment: Create a VGG network 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and Loss Functions .. 2021. 4. 21. [Tensorflow 2][Keras] Week 2 - Contrastive Loss 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 2021.03.20 - [Artificial Intelligence/Keras] - [Tensorflow 2][Keras] Week 2 - Custom loss hyperparameters and classes [Tensorflow 2][Keras] Week 2 - Custom loss hyperparameters and classes 본 포스팅은 다음 과정을 정리 한 글입니다. Custom Models, Layers, and L.. 2021. 3. 21. [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. 이전 1 2 다음 300x250
