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Course Skill Level:
Intermediate to Advanced
Course Delivery Format:
AI / Machine Learning
Who should attend & recommended skills:
Those with Python experience and basic IT and Linux skills
TensorFlow is one of the most popular machine learning frameworks in Python. With this course, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what’s new in TensorFlow 2.0 Alpha, the course moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The course will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the course, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.