Convolutional Neural Networks

This course is part of Deep Learning Specialization

Instructors: Andrew Ng +2 more

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Skills you'll gain

  •   Image Analysis
  •   Deep Learning
  •   PyTorch (Machine Learning Library)
  •   Algorithms
  •   Computer Vision
  •   Data Processing
  •   Tensorflow
  •   Applied Machine Learning
  •   Artificial Intelligence
  •   Artificial Neural Networks
  • There are 4 modules in this course

    By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

    Deep Convolutional Models: Case Studies

    Object Detection

    Special Applications: Face recognition & Neural Style Transfer

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