/akshayanil_deep-learning

#ye_aasan_tha

akshayanil_deep-learning

#ye_aasan_tha

COURSE 1: Neural Networks and Deep Learning

COURSE 2: Iproving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

COURSE 2: Structuring Machine Learning Projects

  1. what is neural network
  2. SUPERVISED LEARNING WITH ML
  3. APPLICATION OF ML TO STRUCTURED AND UNSTRUCTURED DATA
  4. WHY IS DEEP LEARNING TAKNG OFF ?
  5. IDEA OF NN ARCHITECTURE
  6. BINARY CLASSIFICATION
    • how computer stores image ?
  7. LOSS AND COST FUNTION
  8. GRADIENT DESCENT
  9. DERIBATIVES WITH COMPUTING GRAPH
  10. LOGISTIC REGRESSION
  11. VECTORISATION
  12. BROADCASTING IN PYTHON
  13. NEURAL NETWORK REPRESENTATION
  14. COMPUTING A NN OUTPUT
  15. ACTIVATIONS FINCTION
  16. WHY DOES NN NEED A NON A NON LINEAR ACTIVATION FUNCTION?
  17. DERIVATIVES OF ACTIVATION FUANCTION