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Introduction to TensorFlow for Deep Learning

Udacity Course

Overview
Duration2 month
Difficulty
deep learning tensorflow
For
  • Deep Learning Beginners wanting to build their own models with TensorFlow
Other Prerequisites
  • Python programming skills
  • Basic understanding of Deep Learning terminology
  • Basic algebra
Outcomes
  • Skills to design, evaluate and deploy deep learning models in TensorFlow

Learn how to build deep learning applications with the popular framework "TensorFlow". This course gives you hands-on experience building and training state-of-the-art neural networks for a variety of tasks, including image classification. You will be introduced to Convolutional Neural Networks (CNNs) and also learn all necessary practical components, such as saving and loading models to get you started with your own projects. Additionally, there are introductions on transfer learning, time series forecasting and natural language processing, giving you the skills to work with several different data formats. At the end of this course, you will have the necessary skills to build and deploy deep learning models in TensorFlow for your own data.

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