第三门课 结构化机器学习项目 (Structuring Machine Learning Projects) 第一周:机器学习策略(1)(ML Strategy (1)) 1.1 为什么是ML策略? (Why ML Strategy) 1.2 正交化(Orthogonalization) 1.3 单一数字评估指标(Single number evaluation metric) 1.4 满足和优化指标 (Satisficing and Optimizing metric) 1.5 训练...
第三门课 结构化机器学习项目 (Structuring Machine Learning Projects) 第一周:机器学习策略(1)(ML Strategy (1)) 1.1 为什么是ML策略? (Why ML Strategy) 1.2 正交化(Orthogonalization) 1.3 单一数字评估指标(Single number evaluation metric) 1.4 满足和优化指标 (Satisficing and Optimizing metric) 1.5 训练...
Here are some resources to start learning Deep Learning: Free Online Books Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015) Neural Networks and Deep Learning by Michael Nielsen (Dec 2014) Deep Learning by Microsoft Research (2013) Deep Learning Tutorial by LISA ...
吴恩达老师的机器学习课程笔记和视频:https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes 此文档免费,请不要用于商业用途,可以自由传播。 赠人玫瑰,手有余香! mailto:haiguang2000@qq.com 转载请注明出处:https://github.com/fengdu78/deeplearning_ai_books ...
Apply deep learning to natural human language and interpret natural language texts to produce an appropriate response Train your models on the cloud and put TF to work in real environments Explore how Google tools can automate simple ML workflows without the need for complex modeling What ...
Explore deep learning books, reading lists, and resources. Topics include AI, parallel computing, accelerated data science, and more.
《Free Data Science Books》 介绍:数据科学免费书分类集合 《Tutorial 4: Deep Learning for Speech Generation and Synthesis》 介绍:深度学习在语音合成最新进展有哪些?推荐MSRA的Frank Soong老师关于语音合成的深度学习方法的录像和幻灯片与以及谷歌的LSTM-RNN合成介绍,论文 ...
第一门课 神经网络和深度学习(Neural Networks and Deep Learning) 第一周:深度学习引言(Introduction to Deep Learning):http://www.ai-start.com/dl2017/html/lesson1-week1.html 1.1 欢迎(Welcome) 1 1.2 什么是神经网络?(What is a Neural Network) ...
AIBooks A curated list of books on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Transformers. This list is intended for students, educators, researchers, and professionals who are interested in exploring the theoretical foundations, practical applications, and future directi...
第三门课 结构化机器学习项目 (Structuring Machine Learning Projects) 第一周:机器学习策略(1)(ML Strategy (1)) 1.1 为什么是ML策略? (Why ML Strategy) 1.2 正交化(Orthogonalization) 1.3 单一数字评估指标(Single number evaluation metric) 1.4 满足和优化指标 (Satisficing and Optimizing metric) 1.5 训练...