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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ExternalTool
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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
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Readings
- Project Overview
- Google Colab Guidebook
Auto Summary
This beginner-friendly course on Coursera introduces learners to machine learning with TensorFlow, focusing on basic binary image classification. Over 240 minutes, participants will learn to set up TensorFlow, understand neural networks, preprocess data, and implement supervised learning algorithms. The course is free, making it accessible to anyone eager to dive into machine learning.
Soumava Dey