Biogithub3--关于机器深度学习的系统学习资源

系统化的学习这些课程

吴恩达的2021版深度学习jupyter notebook
amanchadha/coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models (github.com)

吴恩达的2017版深度学习jupyter notebook
Kulbear/deep-learning-coursera: Deep Learning Specialization by Andrew Ng on Coursera. (github.com)

pytorch学习
fastai/fastbook: The fastai book, published as Jupyter Notebooks (github.com)

最新版keras和tensorflow练习
codebasics/deep-learning-keras-tf-tutorial: Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python. (github.com)

基于keras和tensorflow的深度学习
ageron/handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. (github.com)

贝叶斯黑客方法
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) (github.com)