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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tensorflow-and-keras-for-neural-networks-and-deep-learning/
课程评论：没有评论
课程名称：Tensorflow和Keras神经网络与深度学习 课程概述： 本课程是一个完整的神经网络和深度学习训练，使用Python中的Tensorflow和Keras。这是一个为期7小时的深度学习训练营，旨在帮助学员掌握基本的机器学习、神经网络和深度学习。课程内容全面，覆盖了Tensorflow和Keras的各个重要方面。 为什么选择这个课程： 本课程是您使用Python的Tensorflow和Keras框架进行实际机器学习和深度学习的完整指南。通过学习，您可以省去其他课程或书籍的费用，在当今大数据时代中，掌握这两个强大的深度学习框架，将使您在职场中拥有竞争优势，提升职业发展。 授课讲师： 讲师Minerva Singh是牛津大学地理与环境学的硕士毕业生，并在剑桥大学完成了热带生态与保护的博士学位。她在数据科学技术方面有多年实战经验，并在国际同行评审期刊上发表了多篇论文。 课程特色： - 课程包含8个全面的模块，涵盖Python基础、Tensorflow与Keras安装、Pandas与Numpy的使用、机器学习的基本概念等。 - 学员将学习如何创建人工神经网络和深度学习结构，并掌握使用Tensorflow和Keras的语法。 - 采用实际数据进行案例学习，帮助学员在真实场景中运用所学知识。 课程的定位是帮助没有Python或统计学背景的学生，从基础到掌握常见的高级数据科学技术。通过该课程，您将能够使用真实数据进行分析，并向潜在雇主展示您的数据科学能力。 加入课程，掌握Tensorflow和Keras，成为数据科学领域的专业人士！
THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON!It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using two of the most important Deep Learning frameworks- Tensorflow and Keras. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the Tensorflow & Keras framework in 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 Python courses, we dig deep into the statistical modeling 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 TENSORFLOW 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 Tensorflow & 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 Tensorflow syntax and graphing environment • The basics of the Keras syntax• Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow & Keras frameworks• You'll even discover how to create artificial neural networks and deep learning structures with Tensorflow & KerasBUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most valuable Python Tensorflow and 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 Tensorflow and 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 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, 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!
