Implementing Deep Learning Algorithms with TensorFlow 2.0
TensorFlow is a popular and widely adopted open-source Machine Learning library. It is Python-friendly and used for various AI areas such as Deep Learning, numeric computation, and large-scale Machine Learning. In this course, you’ll build, train, and apply Deep Learning models such as CNN, RNN, and LSTM with TensorFlow 2.0
Offered by
Difficulty Level
Intermediate
Completion Time
2h16m
Language
English
About Course
Who Is This Course For?
This course is for Machine Learning engineers, Deep Learning engineers, and other Data Science professionals. No knowledge of TensorFlow 1.x is required. Basic knowledge of Python is assumed. Note that Miniconda and TensorFlow 2.0 installations are required for taking this course.
Implementing Deep Learning Algorithms with TensorFlow 2.0
- About Course
- Who Is This Course For?
- Course Content
Course content
lessons • 2h16m total length
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