Intro to TensorFlow for Deep Learning
About this Course
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 …
Intro to TensorFlow for Deep Learning
About this Course
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.
Developed by Google and Udacity, this course teaches a practical approach to deep learning for software developers.
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Learn how to build deep learning applications with TensorFlow. 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. By the end of this course, you’ll have all the skills necessary to start creating your own AI applications.
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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
lesson 8
Natural Language Processing
Tokenize words and create embeddings for using text data with neural networks
Build recurrent neural networks, such as LSTMs, for improved NLP models
Generate new text for tasks like novel song lyrics
lesson 9
Introduction to TensorFlow Lite
Learn how you can use TensorFlow lite to build machine learning apps on Android, iOS and iOT devices
