[Udacity] AI Programming with Python v2.0.0


[Udacity] AI Programming with Python v2.0.0

AI Programming with Python, name of a period of training artificial intelligence with learning the basics of the construction of neural networks include tools, programming, Python, NumPy, pandas, Matplotlib, PyTorch, mathematics, includes differential and linear algebra as well as the techniques of key neural networks (gradient descent and backpropagation) is. With projects from the real world and content that floats in collaboration with the top companies in our partner ready to have you in the skills that companies need skilled you.

Course features AI Programming with Python:

  • Projects in the real world, developed to help experts industrial
  • Browse projects
  • The tests for the evaluation of the knowledge acquired your

Specifications period

Publisher: Udacity teachers: Ortal Arel, Luis Serrano, Jennifer Staab, Juan Delgado, Grant Sanderson, Mat Leonard, Mike Yi, Juno Lee, language: English, educational level: introductory to advanced, the number of lessons: 376 Duration Time: 17 hours and 9 minutes

This course

Course 1: Introduction to Python

Why Python Programming

Data Types and Operators

Control Flow




Course 2: Anaconda, Jupyter Notebook, NumPy, Pandas, and Matplotlib


Jupyter Notebooks

Numpy Basics

Pandas Basics

Matplotlib Basics

Course 3: Linear Algebra Essentials



Linear Combination

Linear Transformation and Matrices

Linear Algebra in Neural Networks


Course 4: Calculus Essentials


Derivatives Through Geometry

Chain Rule and Dot Product

More on Derivatives



Calculus in Neural Networks

Course 5: Neural Networks

Introduction to Neural Networks

Training Neural Networks

Deep Learning with Pytorch

Prerequisite course:

General Requirements

Basic computer skills like managing files, navigating the Internet, and running programs will be useful.

Basic algebra, and programming knowledge in any language.

Hardware Requirements

Computer running OS X or Windows

Size: 2.57 GB

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