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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-deep-belief-network-dbn-with-python-2023/
课程评论：没有评论
课程名称：2023年Python深信网络（DBN）入门 课程概述：对机器学习、深度学习和人工智能感兴趣吗？那么这个课程非常适合您！该课程由一位软件工程师设计，凭借多年的经验和知识，他将与您分享复杂理论、算法和编码库。课程将深入讲解深信网络，这一领域目前尚无太多课程覆盖。 深信网络在许多应用中都有用途，包括图像识别、生成与聚类，语音识别，视频序列和运动捕捉数据。因此，学习和理解深信网络至关重要。课程内容既生动有趣，又深刻而全面，让您在学习中提升技能，理解数据科学这一富有挑战性且有前景的子领域。 在更新版本的课程中，我们会介绍大量工具和技术，包括：Google Colab、深信网络（DBN）、Jupyter Notebook、人工神经网络、神经元、激活函数、Keras、Pandas、微调、Matplotlib、限制玻尔兹曼机（RBMs）、对比发散（CD-k）算法、训练DBNs、贝叶斯信念网络（BBNs）等。此外，课程还配备了一些基于现实案例的实际练习，让您不仅学习理论，也能动手实践，构建自己的模型。 课程包含三个大型项目：MNIST项目、葡萄酒项目和电影项目。完成课程后，您将对深信网络有深刻的理解，并提高升职或找工作的机会，因为您将掌握深信网络的知识。
Interested in Machine Learning, Deep Learning, and Artificial Intelligence? Then this course is for you!A software engineer has designed this course. With the experience and knowledge I gained throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries.I will walk you into Deep Belief Networks. There are no courses out there that cover Deep Belief networks. However, Deep Belief Networks are used in many applications such as Image recognition, generation, and clustering, Speech recognition, Video sequences, and Motion capture data. So it is essential to learn and understand Deep Belief Network. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time, we dive deep into Deep Belief Networks. Throughout the brand new version of the course, we cover tons of tools and technologies, including:Google ColabDeep Belief Network (DBN)Jupiter NotebookArtificial Neural Network.Neuron.Activation Function.Keras.Pandas.Fine Tuning.Matplotlib.Restricted Boltzmann Machines (RBMs)Contrastive Divergence (CD-k) algorithmTraining DBNsBayesian Belief Networks (BBNs)Moreover, the course is packed with practical exercises based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your models. There are three big projects in this course. These projects are listed below:MNIST projectWine projectMovies project.By the end of the course, you will have a deep understanding of Deep Belief Networks, and you will get a higher chance of getting promoted or a job by knowing Deep belief Networks.
