Understanding the Foundations of TensorFlow
Building Machine Learning Solutions with Tensorflow,
In this course, Understanding the Foundations of TensorFlow, you'll learn the TensorFlow library from very first principles. First, you'll start with the basics of machine learning using linear regression as an example and focuses on understanding fundamental concepts in TensorFlow. Next, you'll discover how to apply them to machine learning, the concept of a Tensor, the anatomy of a simple program, basic constructs such as constants, variables, placeholders, sessions, and the computation graph. Then, you'll be introduced to TensorBoard, the visualization tool used to view and debug the data flow graphs. You'll work with basic math operations and image transformations to see how common computations are performed. Finally, you'll solve a real world machine learning problem using the MNIST handwritten dataset and the k-nearest-neighbours algorithm. By the end of this course, you'll have a better understanding of the foundations of TensorFlow.
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| Length | 2.7 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 | Programming Data Science IT & Networking |
| Tags | Machine Learning Data Professional |
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| Rating | Not enough ratings |
|---|---|
| Length | 2.7 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 | Programming Data Science IT & Networking |
| Tags | Machine Learning Data Professional |
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