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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-keras-bootcamp-for-deep-learning-in-python/
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《完整 Keras 深度学习训练营: Python 实战》 课程概述： 该课程是一个关于神经网络和深度学习的全面训练，使用 Keras 框架进行 Python 编程。课程时长为 7 小时，旨在帮助学习者掌握机器学习、神经网络和深度学习的基础知识。选择本课程的原因在于，它提供了使用 Keras 框架进行实用机器学习和深度学习的完整指南，让您不必再花费时间学习其他课程或购买相关书籍。 通过掌握 Keras，您可以在大数据时代为公司提供竞争优势，提升职业发展。本课程由牛津大学的 MPhil（地理与环境）毕业生 Minerva Singh 主讲，她在剑桥大学完成了热带生态与保护的博士学位，并拥有多年的数据分析经验。她在研究中发现许多现有 Python 数据科学课程未能全面涵盖多维度的数据科学，因此本课程将为您提供扎实的基础，尤其是在 Tensorflow 框架下的探索。 课程内容包括： 1. Python 数据科学和强大框架 Anaconda 的全面介绍。 2. Jupyter notebooks 的基础使用，帮助实现数据科学技术。 3. Keras 安装及其他数据科学包的简要介绍。 4. Pandas 和 Numpy 的基本操作。 5. Keras 语法基础。 6. Keras 框架下的机器学习、监督学习和无监督学习。 7. 创建人工神经网络和深度学习模型。 该课程保证使用简单易懂的方式传授 Python Keras 的基础知识及技术，帮助学员在现实数据上应用所学。课程还包括实际操作，通过使用真实数据集，学生将对 Numpy、Pandas、Matplotlib 等包的使用变得熟练，了解卷积神经网络（CNN）及其他深度学习模型。 无论您的技能水平如何，该课程将指导您从基础知识开始，掌握多种先进数据科学技术。课程重心在于实践操作，完成每个视频后，您都将学到新的概念或技术，可以应用于自己的项目。 立即报名，开始您的 Keras 数据科学之旅！
THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH KERAS IN PYTHON!It is a full 7-Hour Python Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Deep Learning frameworks: Keras. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the Keras framework in Python. This means, this course covers the important aspects of Keras if you take this course, you can do away with taking other courses or buying books on Python 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 Keras is revolutionizing Deep Learning.By gaining proficiency in Keras 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 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 Python courses, we dig deep into the statistical modelling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks! DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED KERAS DATA SCIENCE:• 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 Keras installation and a brief introduction to the other Python data science packages• Brief introduction to the working of Pandas and Numpy • The basics of the Keras syntax• Machine Learning, Supervised Learning, Unsupervised Learning in the Keras frameworks• You'll even discover how to create artificial neural networks and deep learning structures with KerasBUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most valuable Python Keras 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 Matplotlib to work with real data in Python along with gaining fluency in Keras. 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.This course will take students without a prior Python and/or statistics background from a basic level to performing some of the most common advanced data science techniques using the powerful Python-based Jupyter notebooksIt 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.. After each video, you will learn a new concept or technique which you may apply to your own projects!JOIN THE COURSE NOW!
