What You Will Learn :
- Use cases & Key Applications
- Machine Learning & Deep Learning Basics
Working with TensorFlow explores algorithms, machine learning, and data mining concepts, and how TensorFlow implements them, working in a hands-on manner. This “skills-centric” course is about 50% hands-on lab and 50% lecture, integrating practical hands-on labs designed to reinforce fundamental skills, concepts and best practices introduced throughout the course. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern “on-the-job” into every classroom and hands-on project.
Working in a hands-on learning environment led by our expert team, students will explore:
- Core Deep Learning and Machine Learning math essentials
- TensorFlow Overview and Basics.
- TensorFlow Operations
- Neural Networks With TensorFlow
- Deep Learning With TensorFlow
Who is this course for?
This in an intermediate-level course is geared for experienced developers or others (with prior Python experience) intending to start using and working with TensorFlow.
Students should have attended or have incoming skills equivalent to those in this course:
Strong foundational mathematics in Linear Algebra and Probability; Matrix Transformation, Regressions, Standard Deviation, Statistics, Classification, etc.
Basic knowledge of machine learning and deep learning algorithms
Strong basic Python Skills