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Deep Learning Specialization
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Course Syllabus

Convolutional Neural Networks

Module 1: Foundations of Convolutional Neural Networks

Module 2: Deep Convolutional Models: Case Studies

Module 3: Object Detection

Object Localization

Landmark Detection

Object Detection

Clarifications about Upcoming Convolutional Implementation of Sliding Windows Video

Convolutional Implementation of Sliding Windows

Bounding Box Predictions

Intersection Over Union

Non-max Suppression

Clarifications about Upcoming YOLO Algorithm Video

Region Proposals

Semantic Segmentation with U-Net

Transpose Convolutions

U-Net Architecture Intuition

U-Net Architecture

Module 4: Special Applications: Face recognition & Neural Style Transfer

Deep Learning Specialization

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Deep Learning Specialization

Intermediate

Topics

Computer VisionDeep LearningNLPSupervised LearningTransformers

Collaborator

DeepLearning.AI

Module 3: Object Detection

- Lecture Notes W3
  Reading
  ・
  1m
- Detection Algorithms
  Graded・Quiz
  ・
  50m
Next
Module 4: Special Applications: Face recognition & Neural Style Transfer

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