⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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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.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python code for "Probabilistic Machine learning" book by Kevin Murphy
- jupyter-notebooks
- machine-learning
- colab
- pml
Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
The "Python Machine Learning (3rd edition)" book code repository
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
- deep-learning
- python3
- dive-into-deep-learning
- tensorflow2
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
- machine-learning
- deep-learning
- python
- classification