Summary – Deep Learning with Neural Networks

  • Deep Learning = layered learning, like specialist tutors helping understand from simple to abstract.
  • Needed when input data is complex (images, text, speech).
  • Code simulates a deep neural net learning XOR.
  • Requires core math + stats (functions, derivatives, optimization, MSE).

Summary Comparison: Shallow vs Deep with Spam Detection

Feature Shallow Network Deep Network
Detects “lottery = spam”? yes yes
Understands “lottery + marketing team”? No yes
Understands “offer from trusted person”? No yes
Learns from combinations of features? No yes
Can generalize to new email patterns? No yes

Next – Machine Learning and Deep Learning – why and where should we use the concepts?