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所在平台: Udemy |
课程主页: https://www.udemy.com/course/plunge-into-deep-learning/
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课程名称：深度学习：深入探索深度学习 课程概述：如果你对机器学习和深度学习领域感兴趣，那么本课程非常适合你！课程内容设计简单易懂，旨在帮助初学者入门，特别适合那些想要了解深度学习基础并探索更多的人。课程强调扎实的基础，为学习更复杂的内容打下坚实的基础。 在本课程中，我们将涵盖以下内容： - 第一部分：深度学习的介绍，包括其应用和重要性。 - 第二部分：深度学习的基本构建块。 - 第三部分：逻辑回归、激活函数、感知机、独热编码、XOR问题以及多层感知机模型。 - 第四部分：神经网络的训练，包括交叉熵、损失函数、梯度下降算法、非线性模型、前向传播和反向传播、过拟合问题、早停法、正则化、丢弃法以及梯度消失问题。 - 第五部分：卷积神经网络：特征提取、卷积层、池化层、ReLU、扁平化及深度卷积神经网络。 - 第六部分：序列模型：循环神经网络和长短时记忆网络（LSTM）。 课程要求：只需具备一些高中数学基础。 适合对象： - 对机器学习和深度学习感兴趣的任何人。 - 拥有高中数学知识并希望学习深度学习的学生。 - 了解机器学习基础并想学习深度学习高级主题的中级学习者。 - 希望在数据科学领域开启职业生涯的大学生。 - 希望在机器学习和深度学习上有所提升的数据分析师。 - 对当前工作不满意并希望成为数据科学家的任何人。 - 希望借助强大学习工具为自己的业务创造附加价值的人员。 本课程将帮助你建立深度学习的基本原则，以理解最新的行业趋势。
Interested in the field of Machine Learning and Deep Learning? Then this course is for you!This course is designed in a very simple and easily understandable content.You might have seen lots of buzz on deep learning and you want to figure out where to start and explore.This course is designed exactly for people like you!If basics are strong, we can do bigger things with ease.My focus in this course is to build complicated things starting from very basicsIn this course, I will cover the following thingsSession 1 - Introductory material on Deep learning, its applications and significance.Session 2 - Introduces the fundamental building block of deep learningSession 3 - Logistic Regression, Activation Functions, Perceptron, One Hot Encoding, XOR problem and Multi-Layer Perceptron modelsSession 4 - Training of Neural Networks: Cross Entropy, Loss Function, Gradient descent Algorithm, Non-Linear Models, Feed Forward, Backward propagation, Overfitting problem, Early stopping, Regularization, drop out and Vanishing Gradient problem.Session 5 - Convolution Neural Networks: Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.Session 6 - Sequence Models: Recurrent Neural Networks, LSTMsAre there any course requirements or prerequisites?Just some high school mathematics level.Who this course is for:Anyone interested in Machine Learning and Deep LearningStudents who have high school knowledge in mathematics and who want to start learning Deep LearningAny intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learningAny students in college who want to start a career in Data ScienceAny data analysts who want to level up in Machine Learning and Deep LearningAny people who are not satisfied with their job and who want to become a Data ScientistAny people who want to create added value to their business by using powerful Learning toolsBuild a foundation on the principles of Deep Learning to understand the latest trends
