Building Classification Models with TensorFlow
Building Machine Learning Solutions with Tensorflow,
TensorFlow is a great way to implement powerful classification models such as Convolutional Neural Networks and Recurrent Neural Networks. In this course, Building Classification Models with TensorFlow, you'll learn a variety of different machine learning techniques to build classification models. First, you'll begin by covering metrics, such as accuracy, precision, and recall that can be used to evaluate classification models and determine which metric is the right one for your use case. Next, you'll delve into more traditional machine learning techniques such as logistic regression and the k-nearest neighbor methods for classification. Finally, you'll discover how to implement more powerful classification models such as Convolutional Neural Networks and Recurrent Neural Networks. By the end of this course, you'll have a better understanding of how to build classification models with TensorFlow.
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Length | 3.3 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Janani Ravi |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional Data Analytics |
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Rating | Not enough ratings |
---|---|
Length | 3.3 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Janani Ravi |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional Data Analytics |
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