Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. Finally, you'll use advanced techniques and algorithms to work with large datasets. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.
LESSON 1 Introduction to Machine Learning
- Get a high-level overview of artificial intelligence and machine learning
- Learn how machine learning and deep learning have revolutionized software
LESSON 2 Your First Model: Fashion MNIST
- Build a neural network that can recognize images of articles of clothing
LESSON 3 Introduction to Convolutional Neural Networks ("CNNs")
- Use a convolutional network to build more efficient models for Fashion MNIST
LESSON 4 Going Further with CNNs
- Expand your image classifiers into models that can predict from multiple classes
- Use a convolutional network to build a classifier for more detailed color images
LESSON 5 Transfer Learning
- Use a pre-trained network to build powerful state-of-the-art classifiers
LESSON 6 Saving and Loading Models
- Look at the new SAVEDMODEL format in TensorFlow 2.0 and take advantage of it for TensorFlow-Lite and TensorFlow-Serving
LESSON 7 Time Series Forecasting
- Learning from sequential data with recurrent neural networks
cf) LESSON 8 turned out to be so big that Udacity decided to make it a stand-alone Free Course