In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Overview
Syllabus
- TensorFlow Beginner: Basic Image Classification
- Welcome to this project-based course on Basic Image Classification with Keras and TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic image classification problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of Neural Networks, TensorFlow and Keras.
Taught by
Amit Yadav
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Reviews
5.0 rating, based on 1 Class Central review
4.6 rating at Coursera based on 827 ratings
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Had an good experience and learnt alot in Basic Image Classification with TensorFlow. The video was so interactive was able to code live and also able to understand quickly had an good virtual experience with hands on session.Thank you COURSERA for providing me this oppurtunity to learn .
