KHÓA HỌC CHI TIẾT

IT SQUARE-Neural Networks and Deep Learning

Khai giảng:01/12/2021 - Hình thức tự trao đổi lẫn nhau theo chương trình học của Thầy Adrew Ng. Theo thời khóa biểu bên dưới
Kết thúc:lớp dài hạn/ lớp hè
Chương trình học

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. Andrew Ng from Coursera and Chief Scientist at Baidu Research formally founded Google Brain that eventually resulted in the productization of deep learning technologies across a large number of Google services..


Công cụ giảng dạy

Phần mềm PYTHON/ ML/ NPL

Lịch khai giảng
Đề cương
  • NN-DL-1 - Welcome to the Deep Learning Specialization
  • NN-DL-1.1 - Introduction to Deep Learning
  • NN-DL-1.2 - What is a neural network?
  • NN-DL-1.3 - Supervised Learning with Neural Networks
  • NN-DL-1.4 - Why is Deep Learning taking off?
  • NN-DL-1.5 - About this Course
  • NN-DL-1.6 - Course Resources
  • NN-DL-2 - Logistic Regression as a Neural Network
  • NN-DL-2.1 - Logistic Regression as a Neural Network
  • NN-DL-2.2 - Binary Classification
  • NN-DL-2.3 - Logistic Regression
  • NN-DL-2.4 - Logistic Regression Cost Function
  • NN-DL-2.5 - Gradient Descent
  • NN-DL-2.6 - Derivatives
  • NN-DL-2.7 - More Derivative Examples
  • NN-DL-2.8 - Computation graph
  • NN-DL-2.9 - Derivatives with a Computation Graph
  • NN-DL-2.10 - Logistic Regression Gradient Descent
  • NN-DL-2.11 - Gradient Descent on m Examples
  • NN-DL-2.12 - Python and Vectorization
  • NN-DL-2.13 - Vectorization
  • NN-DL-2.14 - Vectorizing Logistic Regression
  • NN-DL-2.15 - Vectorizing Logistic Regression's Gradient Output
  • NN-DL-2.16 - Broadcasting in Python
  • NN-DL-2.17 - A note on python/numpy vectors
  • NN-DL-2.18 - Quick tour of Jupyter/iPython Notebooks
  • NN-DL-2.19 - Explanation of logistic regression cost function (optional)
  • NN-DL-2.20 - Pieter Abbeel interview
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