Video: .MP4, 1280×720 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 6hGenre: eLearning | Language: English + Subtitles | Size: 9.98 GBDeep 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 Learning’s 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.

The companion materials for this LiveLesson can be found at.

Skill LevelIntermediateLearn How ToBuild Deep Learning models in TensorFlow and KerasInterpret the results of Deep Learning modelsTroubleshoot and improve Deep Learning modelsUnderstand the language and fundamentals of artificial neural networksBuild your own Deep Learning projectWho Should Take This CourseThis 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 RequirementsSome experience with any of the following are an asset, but none are essential:Object-oriented programming, specifically PythonSimple shell commands, e.g., in BashMachine learning or statisticsFirst-year college calculus