AI Programming with Python Nanodegree v12.0.0

Nanodegree key: nd089 需要项目参考答案跟一对一VIP服务请扫描上面二维码

Version: 12.0.0

Locale: en-us

Learn Python, NumPy, Pandas, Matplotlib, PyTorch, and Linear Algebra—the foundations for building your own neural network.

Content

Part 01 : Introduction to AI Programming

Welcome to the AI programming with python Nanodegree Program!
Come and explore the beautiful world of AI.

Module 01: Introduction to the Nanodegree
- Lesson 01: Welcome to AI Programming with Python
  
  Welcome to the AI Programming with Python Nanodegree program!
- Lesson 02: Knowledge, Community, and Careers
  
  You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
- Lesson 03: Get Help with Your Account
  
  What to do if you have questions about your account or general questions about the program.
  - Concept 01: FAQ
  - Concept 02: Support

Part 02 : Introduction to Python

Start coding with Python, drawing upon libraries and automation scripts to solve complex problems quickly.

Part 03 : Numpy, Pandas, Matplotlib

Let's focus on library packages for Python, such as : Numpy (which adds support for large data),
Pandas (which is used for data manipulation and analysis)
And Matplotlib (which is used for data visualization).

Module 01: Lessons
- Lesson 01: Anaconda
  
  Anaconda is a package and environment manager built specifically for data. Learn how to use Anaconda to improve your data analysis workflow.
- Lesson 02: Jupyter Notebooks
  
  Learn how to use Jupyter Notebooks to create documents combining code, text, images, and more.
- Lesson 03: NumPy
  
  Learn the basics of NumPy and how to use it to create and manipulate arrays.
- Lesson 04: Pandas
  
  Learn the basics of Pandas Series and DataFrames and how to use them to load and process data.
- Lesson 05: Matplotlib and Seaborn Part 1
  
  Learn how to use matplotlib and seaborn to visualize your data. In this lesson, you will learn how to create visualizations to depict the distributions of single variables.
- Lesson 06: Matplotlib and Seaborn Part 2
  
  In this lesson, you will use matplotlib and seaborn to create visualizations to depict the relationships between two variables.

Part 04 : Linear Algebra Essentials

Learn the basics of the beautiful world of Linear Algebra and
why it is such an important mathematical tool in the world of AI.

Module 01: Lessons
- Lesson 01: Introduction
  
  Take a sneak peek into the beautiful world of Linear Algebra and learn why it is such an important mathematical tool.
- Lesson 02: Vectors
  
  Learn about vectors, the basic building block of Linear Algebra.
- Lesson 03: Linear Combination
  
  Learn how to scale and add vectors and how to visualize the process.
- Lesson 04: Linear Transformation and Matrices
  
  What is a linear transformation and how is it directly related to matrices? Learn how to apply the math and visualize the concept.
Module 02: Labs
- Lesson 01: Vectors Lab
  
  Learn how to graph 2D vectors.
  - Concept 01: Vectors Lab
  - Concept 02: Vectors Lab Solution
- Lesson 02: Linear Combination Lab
  
  Learn how to computationally determine a vector's span and solve a simple system of equations.
  - Concept 01: Linear Combination
  - Concept 02: Linear Combination Lab Solution
- Lesson 03: Linear Mapping Lab
  
  Learn how to solve some problems computationally using vectors and matrices.
- Lesson 04: Linear Algebra in Neural Networks
  
  Take a peek into the world of Neural Networks and see how it related directly to Linear Algebra!

Part 05 : Calculus Essentials

Part 06 : Neural Networks

Module 01: Deep Learning
- Lesson 01: Introduction to Neural Networks
  
  In this lesson, Luis will give you solid foundations on deep learning and neural networks. You'll also implement gradient descent and backpropagation in python right here in the classroom.
- Lesson 02: Implementing Gradient Descent
  
  Mat will introduce you to a different error function and guide you through implementing gradient descent using numpy matrix multiplication.
- Lesson 03: Training Neural Networks
  
  Now that you know what neural networks are, in this lesson you will learn several techniques to improve their training.
- Lesson 04: Deep Learning with PyTorch
  
  Learn how to use PyTorch for building deep learning models

Part 07 : Create Your Own Image Classifier

In the second and final project for this course, you'll build a state-of-the-art image classification application.

Module 01: Project
- Lesson 01: Create Your Own Image Classifier
  
  In this project, you'll build a Python application that can train an image classifier on a dataset, then predict new images using the trained model.
  
  Project Description - Create Your Own Image Classifier
  
  Project Rubric - Create Your Own Image Classifier

Part 08 : Career Services

These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!