TensorFlow for Beginners: Basic Binary Image Classification
About this course
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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- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
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What you'll learn
- setting up TensorFlow
- understanding machine learning fundamentals
- implementing supervised learning algorithms
- data preprocessing techniques
- evaluating and deploying models
Course objectives
- introduce basic machine learning concepts
- teach TensorFlow setup and usage
- develop skills for data preprocessing
- enable learners to evaluate and deploy models
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