Udemy - Data Science - Deep Learning Project for Self Driving Cars

Udemy - Data Science - Deep Learning Project for Self Driving Cars485.2 MB
- Get Bonus Downloads Here.url182.0 B
- ~Get Your Files Here !
  - Bonus Resources.txt386.0 B
  - 1. Introduction
    - 1. Project Overview.mp427.2 MB
    - 1. Project Overview.srt4.8 KB
  - 2. Introduction To Project Platform
    - 1. Importing Necessary Libraries in Google Colab Platform.mp434.2 MB
    - 1. Importing Necessary Libraries in Google Colab Platform.srt7.4 KB
  - 3. Cloning Traffic Sign Dataset
    - 1. Import, Explore and Visualize Dataset.mp477.6 MB
    - 1. Import, Explore and Visualize Dataset.srt8.5 KB
  - 4. Image Pre-Processing
    - 1. Grayscale Conversion , Applying Histogram Equalization and Normalization.mp455.5 MB
    - 1. Grayscale Conversion , Applying Histogram Equalization and Normalization.srt7.0 KB
  - 5. Build, Compile and Train a Deep Learning Model
    - 1. Overview of Neural Networks.mp4120.8 MB
    - 1. Overview of Neural Networks.srt18.3 KB
    - 1.1 httpswww.cs.ryerson.ca~aharleyvisconvflat.html.html114.0 B
    - 2. Train a Deep Learning Model that can identify between 43 different Traffic Signs.mp488.2 MB
    - 2. Train a Deep Learning Model that can identify between 43 different Traffic Signs.srt11.5 KB
  - 6. Testing and Analyzing The Performance of the Model
    - 1. Overfitting.mp46.9 MB
    - 1. Overfitting.srt2.9 KB
    - 2. Testing and Saving the Model.mp474.7 MB
    - 2. Testing and Saving the Model.srt11.6 KB
    - 2.1 Downloadable Colab Notebook link.html146.0 B