Neural Network Visualizer Web App with Python
231 ratings

6,718 already enrolled
Create a model server with Flask
Create a web application with Streamlit
Keras' functional API
231 ratings
6,718 already enrolled
Create a model server with Flask
Create a web application with Streamlit
Keras' functional API
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.
Data Science
Deep Learning
Machine Learning
Streamlit
keras
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
The Dataset
Data Normalization
Create and Train the Model
Create a Model Server with Flask
Streamlit Web Application
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by RV
Aug 5, 2020The instructor was to the point and the tutorial was well prepared. Data was also freely available hence I was able to run the program from my own laptop. I would learn from this instructor again.
by RD
Jun 10, 2020A very good introductory project to understand machine learning model deployment in web app.
All the concepts raised in the projects are well explained by Amit sir.
by DB
May 28, 2020Very good skill for developing an app quickly for demonstration purpose.
by HR
Sep 29, 2020project was well guided but doubt solving about stream lit and flask was not done
please look into that
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
Guided Projects are not eligible for refunds. See our full refund policy.
Financial aid is not available for Guided Projects.
Auditing is not available for Guided Projects.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
More questions? Visit the Learner Help Center.