TensorFlow for Beginners: Basic Binary Image Classification
The goal of this project is to introduce beginners to the basic concepts of machine learning using TensorFlow. The project will include, how to set up the tool and get started as well as understanding the fundamentals of machine learning/neural network model and its key concepts. Learning how to use TensorFlow for implementing machine learning algorithms, data preprocessing, supervised learning. Additionally, learners develop skills in evaluating and deploying machine learning models using TensorFlow.
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- Level Beginner
- Duration 4 hours
- Course by Coursera Project Network
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About
The goal of this project is to introduce beginners to the basic concepts of machine learning using TensorFlow. The project will include, how to set up the tool and get started as well as understanding the fundamentals of machine learning/neural network model and its key concepts. Learning how to use TensorFlow for implementing machine learning algorithms, data preprocessing, supervised learning. Additionally, learners develop skills in evaluating and deploying machine learning models using TensorFlow.Modules
Your Learning Journey
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2
Readings
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ExternalTool
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Plugin
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1
Lab
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Assignment
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Assignment
- Assess Your Knowledge
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External Tool
- TensorFlow for Beginners: Basic Binary Image Classification
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Labs
- TensorFlow for Beginners: Basic Binary Image Classification
2
Readings
- Project Overview
- Google Colab Guidebook
Soumava Dey