摘要: Improving Computer Vision Accuracy using Convolutions ‍ 在前面的课程中,你们了解了如何使用包含三层的深度神经网络(DNN)进行时装识别,这三层分别是输入层(数据的形状)、输出层(所需输出的形状)和隐藏层。你试验了不同大小的隐藏层、训练epoch 阅读全文
posted @ 2023-11-29 21:45 跑调的弦 阅读(20) 评论(0) 推荐(0)
摘要: 一个callbacks示例 dlaicourse/Course 1 - Part 4 - Lesson 4 - Notebook.ipynb at master · lmoroney/dlaicourse (github.com) import tensorflow as tf class myCa 阅读全文
posted @ 2023-11-29 20:26 跑调的弦 阅读(18) 评论(0) 推荐(0)
摘要: Beyond Hello World, A Computer Vision Example dlaicourse/Course 1 - Part 4 - Lesson 2 - Notebook.ipynb at master · lmoroney/dlaicourse (github.com) St 阅读全文
posted @ 2023-11-29 18:03 跑调的弦 阅读(26) 评论(0) 推荐(0)
摘要: The Hello World of Deep Learning with Neural Networks dlaicourse/Course 1 - Part 2 - Lesson 2 - Notebook.ipynb at master · lmoroney/dlaicourse (github 阅读全文
posted @ 2023-11-28 17:13 跑调的弦 阅读(5) 评论(0) 推荐(0)