Deeplearning.ai have launched a new Specialization on Coursera: TensorFlow in Practice. In under a week, more than 2,000 people have enrolled and more than 100,000 people have recently viewed the Specialization.
About this Specialization
Discover the tools software developers use to build...
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Overview
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that...
Overview
We introduce low-level TensorFlow and work our way through the necessary concepts and APIs so as to be able to write distributed machine learning models. Given a TensorFlow model, we explain how to scale out the training of that model and offer high-performance predictions using Cloud...
Overview
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Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful...
Overview
Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance.
In this course you will learn the many knobs and...
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