Neural Network Visualizer Web App with Python

بواسطة: Coursera

Overview

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.

Syllabus

  • 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.

Taught by

Amit Yadav

Neural Network Visualizer Web App with Python
الذهاب الي الدورة

Neural Network Visualizer Web App with Python

بواسطة: Coursera

  • Coursera
  • مدفوعة
  • الإنجليزية
  • متاح شهادة
  • متاح في أي وقت
  • intermediate
  • English