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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pytorch-primer-for-neural-networks-deep-learning-in-python/
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课程名称：PyTorch教程 - Python中的神经网络与深度学习 课程概述：本课程旨在帮助学员掌握最新且热门的深度学习框架PyTorch，以用于Python数据科学。这是一个完整的神经网络与深度学习培训课程，时长超过5小时，涵盖了基本的机器学习、神经网络和深度学习。选择本课程的理由在于，它是学习PyTorch框架中实践机器学习和深度学习的全面指南，学员无需再学习其他课程或购买相关书籍。随着大数据时代的到来，企业利用Python处理海量信息，PyTorch的出现正在彻底改变深度学习的格局。掌握PyTorch能够为您的职场增加竞争力，助力职业发展。 讲师介绍：本课程由Minerva Singh主讲，她是牛津大学地理与环境专业的硕士和剑桥大学热带生态与保护专业的博士，拥有多年使用数据科学技术分析真实数据并发表国际期刊文章的经验。她意识到许多Python数据科学课程未能涵盖这一主题的多维特性，导致学生对该领域了解不全面。她的课程将提供在PyTorch框架下对数据科学各个方面的深入理解，并将使用真实数据进行实践。 课程内容：课程包括七个完整的模块，涉及PyTorch的各个方面： 1. Python数据科学的全面介绍，以及强大的Anaconda数据科学框架 2. 使用Jupyter Notebook开展Python数据科学技术的入门指导 3. PyTorch安装及其他Python数据科学包的简要介绍 4. Pandas和Numpy等重要数据科学包的工作原理 5. PyTorch语法和张量的基础知识 6. Python中处理图像数据的初步知识 7. 人工神经网络、深度神经网络及卷积神经网络（CNN）的理论基础 此外，学员将学习如何使用PyTorch创建人工神经网络和深度学习结构。本课程强调实践，通过处理真实数据帮助学员理解理論并实施技术。部分解决的问题包括识别信用卡欺诈和水果图像分类。 结语：完成本课程后，您将能够轻松使用Numpy、Pandas和PIL等包处理真实数据，并掌握PyTorch。该课程旨在确保学员能够运用Python数据科学于实践中，分析自有项目数据，以及用真实示例打动潜在雇主。立即加入课程，提升您的数据科学能力！
Master the Latest and Hottest of Deep Learning Frameworks (PyTorch) for Python Data ScienceTHIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH PYTORCH IN PYTHON!It is a full 5-Hour+ PyTorch Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Python Deep Learning frameworks- PyTorch. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the PyTorch framework in Python.. This means, this course covers the important aspects of PyTorch and if you take this course, you can do away with taking other courses or buying books on PyTorch. 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 frameworks such as PyTorch is revolutionizing Deep Learning.By gaining proficiency in PyTorch, 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 PYTORCH 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 PyTorch framework. Unlike other Python courses and books, you will actually learn to use PyTorch on real data! Most of the other resources I encountered showed how to use PyTorch on in-built datasets which have limited use.DISCOVER 7 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTORCH:• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda• Getting started with Jupyter notebooks for implementing data science techniques in Python• A comprehensive presentation about PyTorch installation and a brief introduction to the other Python data science packages• A brief introduction to the working of important data science packages such as Pandas and Numpy • The basics of the PyTorch syntax and tensors• The basics of working with imagery data in Python• The theory behind neural network concepts such as artificial neural networks, deep neural networks and convolutional neural networks (CNN)• You'll even discover how to create artificial neural networks and deep learning structures with PyTorch (on real data)BUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most valuable PyTorch basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real -life.After taking this course, you'll easily use packages like Numpy, Pandas, and PIL to work with real data in Python along with gaining fluency in PyTorch. I will even introduce you to deep learning models such as Convolution Neural network (CNN)!!The underlying motivation for the course is to ensure you can apply Python-based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, and impress your potential employers with actual examples of your data science abilities.It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, the majority of the course will focus on implementing different techniques on real data and interpret the results. Some of the problems we will solve include identifying credit card fraud and classifying the images of different fruits. After each video, you will learn a new concept or technique which you may apply to your own projects!JOIN THE COURSE NOW! #deep #learning #neural #networks #python #ai #programming
