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.
由 HR 提供2020年9月29日
project was well guided but doubt solving about stream lit and flask was not done
please look into that
由 RB 提供2020年6月15日
Excellent project .A nice way to get started with streamlit and flask with practical hands on experience.Instructor has been truly fantastic.
由 DB 提供2020年5月28日
Very good skill for developing an app quickly for demonstration purpose.
由 SM 提供2020年5月15日
A short but informative project, even I will be able to integrate my model with web application.