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Classroom Contents
End-to-End Deep Learning Pipeline for Self-Driving Cars
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- 1 Introduction
- 2 Selfdriving cars
- 3 Selfdriving toy car
- 4 Deep learning
- 5 Outline
- 6 Pipeline
- 7 DonkeyCar
- 8 Data collection
- 9 Getting data
- 10 Data collection pipeline
- 11 Data points
- 12 Data processing
- 13 Data splitting
- 14 Motivation
- 15 Tensorflow records
- 16 Serialization
- 17 sterilized mode
- 18 pictures
- 19 deep layers
- 20 input
- 21 convolution
- 22 max pooling
- 23 dense layer
- 24 dropout layer
- 25 training
- 26 training script
- 27 evaluation
- 28 metrics
- 29 measurement
- 30 typical mistakes
- 31 deployment
- 32 summary
- 33 driving errors
- 34 all software projects
- 35 tracking results
- 36 running the model
- 37 data gathering
- 38 building a selfdriving car
- 39 level 5 selfdriving cars
- 40 validation and test dates
- 41 why Tensorflow
- 42 how many people
- 43 simulation
