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Zero-based entry-depth learning essential basics
Depth learning essential basics, entry required mathematical knowledge, Python necessary foundation, deep learning framework developed four basic introductory courses lay a solid foundation of knowledge, the future open wide.
Learning List
[Depth learning essential basics]
Depth study of the development
of machine learning
deep learning how to work
practice: Handwritten digital classified
summary
[Entry required mathematical knowledge]
Advanced Mathematics
Linear Algebra
determinant
matrix
vector
linear equations
eigenvalues and eigenvectors of
quadratic
probability theory and mathematical statistics,
random events and probability
random variables and their probability distributions
of multidimensional random variables and their distribution
numerical characteristics of random variables
mathematical statistics basic concepts
[Python] essential foundation
Python basic keywords and syntax
Python common data structure
in Python for loop
while loop in Python
function in a Python
Python is an object-oriented programming
more self-test
[Entry-depth learning framework Development Foundation]
Fly paddle PaddlePaddle basic commands
using linear regression fly paddle PaddlePaddle do
practice: forecasting prices
Reference material
Direct link:
fly paddle official website: https: //www.paddlepaddle.org.cn
fly paddle GitHub: https: //github.com/paddlepaddle/paddle
