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Traffic Sign Classification

Traffic Sign Classification

Rp 1299

Rp 4999

In this project, we will use a convolution neural network to build, train and test a sign classification model. We will build this model using tensor flow and keras. It is a multiclass classification problem. This model can be used for smarter cars. After this project, you'll be able to create a multiclass classification model using Deep Learning.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Fri Apr 2023
Level
Intermediate
Total lectures 6
Total quizzes 0
Total duration 00:28:15 Hours
Total enrolment 447
Number of reviews 38
Avg rating
Short description In this project, we will use a convolution neural network to build, train and test a sign classification model. We will build this model using tensor flow and keras. It is a multiclass classification problem. This model can be used for smarter cars. After this project, you'll be able to create a multiclass classification model using Deep Learning.
Outcomes
  • Understanding the problem statement.
  • Understanding different libraries and their respective uses.
  • In depth exploratory data analysis of each feature. Data cleansing and preparation.
  • Creating custom functions for models.
  • In depth explanation of data imputation and filling missing data.
  • Defining an approach to solve deep learning classification problems.
  • Training and testing the model using cross validation
Requirements
  • Basic Programming Language
  • Deep Learning Enthusiasts

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