Deep Learning, Computer Vision for Self Driving Cars
Learn the basics to advance deep learning, computer vision, of autonomous driving to give vision to a self-driving car from scratch. After this course, you will know how to build a vision-based self-driving car from scratch using Python.
This course will take you from the basics of deep learning, computer vision, of autonomous driving to give vision to a self-driving car from scratch. After this course, you will know how to build a vision-based self-driving car from scratch using Python. This is a very hands-on course where we'll build projects using OpenCV 3, Keras, TensorFlow as well as do some cool stuff with drones. By the end of this course, you should have a good understanding of what it takes to build a self-driving car. Computer Vision for Self Driving Cars is a course designed to teach you everything about computer vision and deep learning used in self-driving cars. You will learn about image segmentation, traffic light detection, lane line detection, etc using OpenCV 3.0 and Tensorflow 1.0 with some industry-ready advanced projects.
WHAT YOU WILL LEARN
Optimization & Gradient Descent
3D Computer Vision
Forward Backward Propagation
Self-Driving Cars basics
Mathematics behind DL
Research papers in DL
Lane line detection
Advance Computer Vision
Self-Driving Car basics & Intro to Deep Learning
- Intro to Deep Learning
- Human brain & perceptron
- Multi-layer perceptron or neural network
- Mathematics behind Artificial Neural Network
- Forward & Backward Propagation, Chain rule in Artificial Neural Network
- Activation Function
- Optimization & Gradient Descent
- Transfer Learning
Convolutional Neural Network
Intro to CNN
- CNN kernels, channels, feature maps, stride, padding
- Receptive Fields
- Image Classification demo
- LeNet -
Forward & Backward Propagation in LeNet
- Inception, Inception 2
- Batch Normalization
- Transfer learning
- Fast rcnn
- Faster rcnn
- Face net
- Semantic segmentation
- Masked rcnn
3D Object detection
- 3D estimation
Lane-line detection & Road Segmentation
Obstacle detection, Traffic Signs/Light detection, Road Markings
Distance Estimation & 3D reconstruction
-Deep learning & Geometry papers
- Kalman filter basics
- Extended Kalman Filter
- Sort - DeepSort
Object detection using Drone
Frequently Asked Questions
What is the refund policy?
After you enroll in this course you can explore the technology behind Self-Driving Cars in case you are not satisfied with our services you can ask for a refund in the first 15 days. After that, we don’t give refunds.
Is financial aid available?
Yes, Lasso Pacific provides financial aid to learners who cannot afford the fee. For getting successful Financial Aid you need full the conditions written here. You'll be prompted to complete an application and will be notified if you are approved.
Is this course really 100% online? Do I need to attend any classes in person?