Introduction to Deep Learning Models With TensorFlow

TensorFlow is the most widely used deep learning software package today. This training covers all aspects of TensorFlow and gives you hands-on experience building deep learning models using the TensorFlow library. Each line of code is analyzed to help you understand the complexity of this process.
These lessons will provide insight into the mathematical foundations of deep-learning models and give you an understanding of how they work. This course is for budding data scientists and software engineers. It requires basic knowledge of Python programming. To write and execute code, Jupyter Notebook can be used.

• Learn how to set TensorFlow up on your machine
• Learn how to create a deep learning model that solves real-life problems
• Learn how to create and manage a TensorFlow chart
• Deep learning is a superior method of learning than traditional machine learning. It can be used when you need it.
• Get to know the "gotchas", the TensorFlow library
• Learn how to debug programs if they go wrong

At Jet.com, Lucas Adams is a senior-level machine learning engineer. He deploys TensorFlow to support natural language processing and computer vision. Lucas is a TensorFlow user and contributor since its release in November 2015. He holds a degree from Brown University in Applied Mathematics.