Deep Learning for Self Driving Cars
Corso
A Milano
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Descrizione
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Tipologia
Corso
-
Luogo
Milano
Deep learning is a subfield of machine learning. It uses methods based on learning data representations and structures such as neural networks.
Keras is a high-level neural networks API for fast development and experimentation. It runs on top of TensorFlow, CNTK, or Theano.
This instructor-led, live training (onsite or remote) is aimed at developers who wish to build a self-driving car using deep learning techniques.
By the end of this training, participants will be able to:
Use computer vision techniques to identify lanes.
Use Keras to build and train convolutional neural networks.
Train a deep learning model to differentiate traffic signs.
Simulate a fully autonomous car.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Sedi e date
Luogo
Inizio del corso
Inizio del corso
Profilo del corso
Python programming experience.
Audience
Developers
Opinioni
Materie
- E-learning
Programma
Introduction
Setting up the Development Environment
Creating a Project
Configuring the Simulator
Preparing the Data Sets
Overview of Python Deep Learning Libraries
Applying Computer Vision Techniques to Track Lanes
Training Perceptron-Based Neural Networks to Detect Other Vehicles
Implementing Convolutional Neural Networks to Predict Steering Angle and Speed
Training a Deep Learning Model to Classify Traffic Signs
Using Polynomial Regression to Improve Predictive Accuracy
Testing the Self Driving Car
Troubleshooting
Summary and Conclusion
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Ti aiuterà a confrontare vari corsi e trovare l'offerta formativa più conveniente.
Deep Learning for Self Driving Cars