CourseraAccess
Coursera PlusIncluded with a Coursera subscription
This course is included with a Coursera Plus subscription.
View on Coursera →No coupon right now. We'll tell you when there is one.
Mark your own learning status. Opening a course link does not establish enrollment.
The fourth course in Andrew Ng's Deep Learning Specialization, Convolutional Neural Networks takes you from the fundamentals of computer vision into building CNNs, residual networks, and applying neural style transfer — the techniques behind autonomous driving and facial recognition systems.
An intermediate-level course best suited to learners who already have deep learning fundamentals under their belt. It's a proven, high-demand track with 571,226 learners.
If you're serious about a computer vision or applied ML career, this is one of the most respected, widely-referenced courses in the field.
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Feature Engineering, Model Training, Network Architecture.
Advertisement
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization