本文为Kaggle Learn的Deep Learning课程的中文翻译。原链接为：https://www.kaggle.com/learn/deep-learning
1. Intro to Deep Learning and Computer Vision
A quick overview of how models work on images
2. Building Models from Convolutions
Scale up from simple building blocks to models with beyond human capabilities
3. Programming in TensorFlow and Keras
Start writting code using TensorFlow and Keras
4. Transfer Learning
A powerful technique to build highly accurate models even with limited data
5. Data Augmentation
Learning a simple trick that effectively increases amount of data available for model training.
6. A Deeper Understanding of Deep Learning
How Stochastic Gradient Descent and Back-Propagation train your deep learning model.
7. Deep Learning From Scratch
Build models without transfer learning. Especially important for uncommom image types.
8. Dropout and Strides For Larger Models
Make your models faster and reduce overfitting