Neural Network Visualizer Web App with Python
6563 ya inscrito
6563 ya inscrito
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.
En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:
Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.
En un video de pantalla dividida, tu instructor te guía paso a paso
por HR29 de sep. de 2020
project was well guided but doubt solving about stream lit and flask was not done
please look into that
por DB28 de may. de 2020
Very good skill for developing an app quickly for demonstration purpose.
por AA21 de sep. de 2020
Very nice handson project. Very good explanation of each and every step. Easy to follow
por RD10 de jun. de 2020
A 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.