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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-computer-vision-deep-learning-in-opencv-and-keras/
课程评论：没有评论
**课程名称：** 使用 Python、OpenCV、TensorFlow 与 Keras 精通计算机视觉与深度学习 **课程概述：** 本课程将从零开始，全面教授计算机视觉与深度学习领域的知识。您将首先学习 Python 基础及面向对象编程，随后深入掌握 NumPy 的核心概念。接着，课程将引导您从入门到精通 OpenCV，并学习 Matplotlib 可视化工具。 在理论层面，您将探讨图像核、人工神经网络、人工神经网络的组成要素以及深度学习的定义。 课程的实践部分将侧重于 TensorFlow 和 Keras。您将学习 TensorFlow 的基础和进阶用法，理解并操作张量（Tensors），包括创建不同类型的张量和执行各种张量运算。 最终，您将利用 TensorFlow 和 Keras 构建人工神经网络模型，并通过解决线性回归问题来实践。在此基础上，课程将深入讲解深度神经网络（DNN）和卷积神经网络（CNN），并通过大量的项目实践来巩固学习。您将学习如何进行二分类、多分类图像识别，以及实时分类与检测。课程承诺提供约 50 个项目实践机会，其中将共同完成约 30 个项目（已包含 14 个，后续将每周更新）。 **教学特色：** * **循序渐进，无基础要求：** 从 Python 基础讲起，逐步过渡到高级主题。 * **理论结合实践：** 深入讲解理论概念，并通过丰富的项目实践来加深理解。 * **大量项目驱动：** 提供数量可观的项目，帮助学习者动手实践，快速掌握技能。 * **独家内容承诺：** 讲师承诺提供市场上独一无二的学习体验。
Welcome to the course "Master Computer Vision and Deep Learning with Python OpenCV, TensorFlow and Keras". In this course you will learn everything from scratch. First you will learn Python from scratch to object oriented Python. Then you will learn Numpy from very basic to intermediate level. After that you will learn Python OpenCV from very beginning to advance level and then you will learn Matplotlib.At this stage you will learn about Image Kernels, Artificial Neural Network, Elements of Artificial Neural Network and What is Deep Learning.You will learn basic to intermediate levels of Tensorflow and you will learn how to play with tensors. You will learn how to create different types of tensors using Tensorflow and run different operations on those tensors.Finally, it's time to learn how to create an Artificial Neural Network Model using Tensorflow and Keras and we will create to solve a linear regression problem.After we learn and create Artificial Neural Network Model using Tensorflow and Keras, now it's time to implement Deep Neural Network, Convolutional Neural Network and develop multiple projects using Tensorflow, Keras and Convolutional Neural Network. We learn and develop binary image classification, multi-class image classification and real time classification and detection and we will learn and develop through projects by developing about 50 projects.You will learn through developing projects and writing codes together. We will together develop about 30 projects. I've already added 14 projects and about 16 more projects is coming soon. I will try to add at least 1 project per week.I promise to give you something which no instructor has ever given in any course.
