Published on: 2021-02-18 03:38:28
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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.
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
Course 1: Introduction to Python
Why Python Programming
Data Types and Operators
Control Flow
Functions
Scripting
Classes
Course 2: Anaconda, Jupyter Notebook, NumPy, Pandas, and Matplotlib
Anaconda
Jupyter Notebooks
Numpy Basics
Pandas Basics
Matplotlib Basics
Course 3: Linear Algebra Essentials
Introduction
Vectors
Linear Combination
Linear Transformation and Matrices
Linear Algebra in Neural Networks
Labs
Course 4: Calculus Essentials
Introduction
Derivatives Through Geometry
Chain Rule and Dot Product
More on Derivatives
Limits
Integration
Calculus in Neural Networks
Course 5: Neural Networks
Introduction to Neural Networks
Training Neural Networks
Deep Learning with Pytorch
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
After the Extract, etc. with the Player your desired view.
Subtitles: English
Quality: 720p
2.6 GB
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