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Github Chengjun Slides Archive Of My Slides Pinned deeplearningcourse public my slides and examples for bachelor deep learning course jupyter notebook 12 3. 计算机应用技术博士、深圳技术大学教授、深圳大学硕导、智能科学与技术系主任、ieee senior member，2022以来连续入选斯坦福大学发布的全球前2%科学家榜单，2023年获得深圳技术大学“润园pi”，是深圳市孔雀计划b类人才、深圳技术大学 浙江大华计算机视觉与ai联合实验室主任、深圳市电子学会新一. Deeplearningcourse in this repo would be stored course materials for deeplearningcourse.ru, presentations & jupyter notebooks with code. the folders are correspond to classes' numbers. there is an additional info about the class in each folder in readme file. Introductory course for deep learning, computer vision & natural language processing deeplearningcourse.

Github Adolfking Deeplearningslides Slides For The Teaching And Deeplearningcourse in this repo would be stored course materials for deeplearningcourse.ru, presentations & jupyter notebooks with code. the folders are correspond to classes' numbers. there is an additional info about the class in each folder in readme file. Introductory course for deep learning, computer vision & natural language processing deeplearningcourse. Hi there , i'm pengxj, a student who want to be a back end🚀 from china. talking about personal stuffs: 👨🏽‍💻 i’m currently looking forward an internship opportunity of back end; 🌱 i’m currently learning golang, os, network, mysql and redis; 🏃🏻i try my best to run every day, and will play basketball🏀 sometime. ;. In this course, you will learn the foundations of deep learning, understand how to build neural networks, and learn how to lead successful machine learning projects. you will learn about convolutional networks, rnns, lstm, adam, dropout, batchnorm, and more.

Github Gkalliatakis Deep Learning Lecture Slides Lecture Slides In Hi there , i'm pengxj, a student who want to be a back end🚀 from china. talking about personal stuffs: 👨🏽‍💻 i’m currently looking forward an internship opportunity of back end; 🌱 i’m currently learning golang, os, network, mysql and redis; 🏃🏻i try my best to run every day, and will play basketball🏀 sometime. ;. In this course, you will learn the foundations of deep learning, understand how to build neural networks, and learn how to lead successful machine learning projects. you will learn about convolutional networks, rnns, lstm, adam, dropout, batchnorm, and more.

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