Introduction to TensorFlow™ | Online
About this workshop
Neural Networks are everywhere! They power self-driving cars; speech recognition, e.g. Apple’s Siri and Amazon’s Alexa; Google and Facebook’s computer vision systems; automatic diagnoses of medical imagery; drug discovery; and plethora of other applications. Successes in AI are driven by neural networks. These successes are also driving significant investments in people who can train and scale neural networks technology — starting offers being high as $1 million per year (http://nyti.ms/1RBj2UF).
By end of the class, students will have foundational understanding of what TensorFlow™ is, how to effectively train neural networks using TensorFlow™, and use it to solve their own data science problems.
Takeaways
- Train neural networks using TensorFlow™
- Build an end-to-end deep learning applications with TensorFlow™
- Visualize what their machine learning models have learned using TensorBoard
- Apply neural networks to identify artistic style from paintings of famous painters
Prereqs & Preparation
Students should have familiarity with Python and install TensorFlow™ and other relevant Python packages related to the material before class. The instructor will send out the necessary installation details before the class.
