Complete Python Based Image Processing and Computer Vision

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课程主页: https://www.udemy.com/course/complete-python-based-image-processing-and-computer-vision/

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课程名称:基于Python的完整图像处理与计算机视觉 课程概述:本课程是一个完整的基于Python的图像处理和计算机视觉训练营,旨在帮助学员使用Jupyter笔记本实现基本的图像处理和计算机视觉任务。课程内容涵盖常规技术、数据科学和深度学习,特别是Keras和TensorFlow(谷歌的强大深度学习框架),帮助学员掌握实用的图像处理和计算机视觉技能。 课程亮点: - 由牛津大学和剑桥大学的博士毕业生Minerva Singh讲授,结合数年的实际数据分析经验。 - 深入探讨传统与数据科学中心的图像处理和计算机视觉任务,提供全面的知识背景。 - 学员将接触真实数据,学习如何应用和评估不同的数据科学包的性能,包括Keras。 - 课程分为8个完整部分,涵盖从Python数据科学框架Anaconda的使用,到机器学习算法的实现,再到深度学习模型的应用(如卷积神经网络CNN)。 学习内容包括: - 使用Anaconda进行图像处理和计算机视觉任务的基本介绍。 - 无行业术语的相关理论概念的介绍。 - 安装和使用TensorFlow和Keras等相关软件包的详细指导。 - 对真实图像数据实施监督学习和无监督学习算法。 - 创建人工神经网络和深度学习结构,并在图像数据中实现。 - 转移学习的基础知识。 课程特色: - 实用的案例学习,重视真实数据而非虚构数据,确保学员能够将Python的图像处理技术应用于实际项目。 - 强调实践操作,多数时间将集中于实施不同技术,并对结果进行解释。 - 课程结束后,学员将能熟练使用OpenCV等图像处理和计算机视觉包,并掌握TensorFlow和Keras,能够进行图像分类等深度学习任务。 报名该课程,助你成为精通Keras和TensorFlow的数据科学专家,提升职业竞争力!无论你的技能水平如何,都能应用所学技巧进行数据分析,给潜在雇主留下深刻印象。立即加入课程,开始你的学习之旅吧!

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Complete Python Based Image Processing and Computer Vision With Conventional Techniques, Data Science and Deep LearningTHIS IS A COMPLETE PYTHON-BASED IMAGE PROCESSING & COMPUTER VISION COURSE!It is a full Python-based image processing and computer vision boot camp that will help you implement basic image processing and computer vision tasks using Jupyter Notebooks. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical image processing and computer vision tasks using Python.. This means, this course covers the important aspects of Keras and Tensorflow (Google's powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow and Keras is revolutionizing Deep Learning.By gaining proficiency in Keras and and Tensorflow, you can give your company a competitive edge and boost your career to the next level.THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL KERAS & TENSORFLOW BASED DATA SCIENCE!But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.. This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework. Unlike other courses, we dig deep into both the conventional and data science-centric image processing and computer vision tasks! After learning the most important image processing and computer vision tasks, you will learn to implement both machine learning and deep learning techniques in a hands-on manner. You will be exposed to real life data and learn how to implement and evaluate the performance of the different data science packages, including Keras. DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED IMAGE PROCESSING & COMPUTER VISION • Detailed introduction to using the powerful Python driven framework for data science Anaconda for image processing and computer vision tasks• Jargon-free introduction to the relevant theoretical concepts • Detailed introduction to installing and using the relevant packages including tensor flow and Keras• Implement Machine Learning algorithms, (both Supervised Learning and Unsupervised Learning ) on real life image data• You'll even discover how to create artificial neural networks and deep learning structures to implement on imagery data with Tensorflow & Keras• Introduction to transfer learning BUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most commonly used image processing and computer vision basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts. This means you get a jargon free introduction to the much-needed theoretical conceptsMy course will help you implement the methods using real imagery data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based image processing in real -life.After taking this course, you'll easily use image processing and computer vision packages such as OpenCV along with gaining fluency in Tensorflow and Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) and their implementation for imagery classification!!The underlying motivation for the course is to ensure you can apply Python based data science techniques on real image data into practice today, start analyzing data for your own projects whatever your skill level, and impress your potential employers with actual examples of abilities.It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to image processing and computer vision (and assocaited data science methods). However, majority of the course will focus on implementing different techniques on real data and interpret the results.. After each video you will learn a new concept or technique which you may apply to your own projects!JOIN THE COURSE NOW! #computer #vision #python #image #processing #analysis

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