Neural Network Visualizer Web App with Python

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在此指導項目中,您將:

Create a model server with Flask

Create a web application with Streamlit

Keras' functional API

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Data Science
  • Deep Learning
  • Machine Learning
  • Streamlit
  • keras

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Introduction

  2. The Dataset

  3. Data Normalization

  4. Create and Train the Model

  5. Create a Model Server with Flask

  6. Streamlit Web Application

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

授課教師

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