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所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-for-object-detection-using-tensorflow-2/
课程评论：没有评论
**课程名称：** 使用 TensorFlow 2 进行深度学习目标检测 **课程概述：** 本课程旨在帮助您熟练掌握基于深度学习的目标检测模型的训练和评估。您将深入了解 Faster R-CNN、SSD 和 YOLO 等模型的工作原理，建立直观理解。随后，您将学会如何利用 TensorFlow 2 在本地机器上训练和评估这些模型。最后，课程将指导您如何利用云计算（特别是 Google Cloud AI Platform）来提升训练效率，利用强大的 GPU 资源进行模型训练和评估。 **学习目标：** * **建立目标检测直观理解：** 掌握深度学习目标检测的核心概念，为求职面试打下坚实基础。 * **自定义模型开发：** 学会使用自己的数据集创建和训练目标检测模型，构建强大的 AI 解决方案。 * **利用云计算优化训练：** 掌握 Google Cloud AI Platform 的使用，通过 GPU 加速提升模型性能。
This course is designed to make you proficient in training and evaluating deep learning based object detection models. Specifically, you will learn about Faster R-CNN, SSD and YOLO models. For each of these models, you will first learn about how they function from a high level perspective. This will help you build the intuition about how they work. After this, you will learn how to leverage the power of Tensorflow 2 to train and evaluate these models on your local machine. Finally, you will learn how to leverage the power of cloud computing to improve your training process. For this last part, you will learn how to use Google Cloud AI Platform in order to train and evaluate your models on powerful GPUs offered by google. I designed this course to help you become proficient in training and evaluating object detection models. This is done by helping you in several different ways, including:Building the necessary intuition that will help you answer most questions about object detection using deep learning, which is a very common topic in interviews for positions in the fields of computer vision and deep learning.By teaching you how to create your own models using your own custom dataset. This will enable you to create some powerful AI solutions.By teaching you how to leverage the power of Google Cloud AI Platform in order to push your model's performance by having access to powerful GPUs.
