Jon Krohn – Deep Learning with TensorFlow LiveLessons

Jon Krohn – Deep Learning with TensorFlow LiveLessons

Check it out: Jon Krohn – Deep Learning with TensorFlow LiveLessons

Deep Learning with TensorFlow LiveLessons is an introduction to Deep Learning that bring the revolutionary machine-learning approach to life with interactive demos from the most popular Deep Learning library, TensorFlow, and its high-level API, Keras.

Essential theory is whiteboarded to provide an intuitive understanding of Deep Learnings underlying foundations, i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art Deep Learning models.

Skill Level
– Intermediate

Learn How To
– Build Deep Learning models in TensorFlow and Keras
– Interpret the results of Deep Learning models
– Troubleshoot and improve Deep Learning models
– Understand the language and fundamentals of artificial neural networks
– Build your own Deep Learning project

Who Should Take This Course
This course is perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in Deep Learning. Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful. Previous experience with statistics or machine learning is not necessary.

Course Requirements
Some experience with any of the following are an asset, but none are essential:
– Object-oriented programming, specifically Python
– Simple shell commands, e.g., in Bash
– Machine learning or statistics
– First-year college calculus