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Neural Network Visualizer Web App with Python
In this 2 hour long project-based course, you will learn to create a Neural Network Visualizer web application using Streamlit, and a simple model server using Keras and Flask. You will also use Keras to train a Neural Network model, and use Keras' functional API to create a model with multiple outputs. We will create a web application that will visualize the outputs of all the nodes of all the layers of the neural network for a given input image.
In order to complete this project successfully, you will need prior programming experience with Python, understanding of the theory behind neural networks, and familiarity with 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.
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Rating | Not enough ratings |
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Length | 2 weeks |
Effort | 2 hours |
Starts | Jul 3 (43 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Amit Yadav |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 2 hours |
Starts | Jul 3 (43 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Amit Yadav |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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