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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-neural-networks-and-deep-learning-in-python/
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课程名称：Python中的实用神经网络与深度学习 课程概述：本课程是一门完整的神经网络与深度学习培训，使用PyTorch、H2O、Keras和TensorFlow框架进行教学，时长超过5小时。它涵盖了基本的机器学习、神经网络和深度学习知识，帮助学生掌握这些重要的Python深度学习框架。在当今大数据时代，企业广泛使用Python来处理海量信息，而PyTorch、Keras、H2O和TensorFlow等框架正在革新深度学习。 课程的目标是帮助学员成为Python数据科学的专家，掌握实用的机器学习和深度学习技能。从课程中，学员将获得建立在真实数据上的实践经验，超越其他只使用内置数据集的课程。 课程内容包括： 1. Python数据科学入门及强大的数据科学框架Anaconda介绍。 2. 使用Jupyter notebooks实现数据科学技术的初步学习。 3. PyTorch、H2O、TensorFlow和Keras的安装及简介。 4. 重要数据科学包（如Pandas和Numpy）的初步介绍。 5. PyTorch、H2O、TensorFlow和Keras语法基础。 6. Python中的图像数据处理基础。 7. 神经网络理论，包括人工神经网络、深度神经网络和卷积神经网络（CNN）。 8. 使用PyTorch、Keras和TensorFlow创建人工神经网络和深度学习结构（基于真实数据）。 本课程强调实际操作，会帮助学员掌握如何使用Numpy、Pandas和PIL处理真实数据，并流利地使用主要的深度学习架构。通过学习，学员将能够分析自己的数据并在求职时展示真实案例来印象招聘者。课程大部分将集中在真实数据上实施不同技术，并对结果进行解读，包括解决信用卡欺诈识别和水果图像分类等问题。 加入课程，开始您的深度学习之旅！
THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH PYTORCH, H2O, KERAS & TENSORFLOW IN PYTHON!It is a full 5-Hour+ Deep Learning 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, H2O, Keras & Tensorflow. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the PyTorch, H2O, Keras and Tensorflow framework in Python. This means, this course covers the important aspects of these architectures and if you take this course, you can do away with taking other courses or buying books on the different Python-based- deep learning architectures. 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, Keras, H2o, Tensorflow is revolutionizing Deep Learning.By gaining proficiency in PyTorch, H2O, Keras 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 PYTHON 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, H2O, Tensorflow and Keras framework. Unlike other Python courses and books, you will actually learn to use PyTorch, H20, Tensorflow and Keras 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 IMPORTANT DEEP LEARNING FRAMEWORKS:• 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, H2o, Tensorflow and Keras 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, H2o, Tensorflow and Keras syntax• 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, Keras and Tensorflow (on real data)BUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:You'll start by absorbing the most valuable PyTorch, 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 PIL to work with real data in Python along with gaining fluency in the most important of deep learning architectures. 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!
