Practical Artificial Intelligence (AI) With the PyTorch Framework in Python
This course is your complete guide to practical machine & deep learning using the PyTorch framework in Python.
Segment - 01 - Introduction
Segment - 02 - Get Started With the Python Data Science Environment: Anaconda
Segment - 03 - Anaconda for Mac Users
Segment - 04 - The iPython Environment
Segment - 05 - Why PyTorch?
Segment - 06 - Install PyTorch
Segment - 07 - Further Installation Instructions for Mac
Segment - 08 - Working With CoLabs
Segment - 09 - Python Packages for Data Science
Segment - 10 - Introduction to Numpy
Segment - 11 - Create Numpy Arrays
Segment - 12 - Numpy Operations
Segment - 13 - Numpy for Basic Vector Arithmetic
Segment - 14 - Numpy for Basic Matrix Arithmetic
Segment - 15 - PyTorch Basics: What Is a Tensor?
Segment - 16 - Explore PyTorch Tensors and Numpy Arrays
Segment - 17 - Some Basic PyTorch Tensor Operations
Segment - 18 - Read in CSV Data
Segment - 19 - Read in Excel Data
Segment - 20 - Basic Data Exploration With Pandas
Segment - 21 - Ordinary Least Squares (OLS) Regression - Theory
Segment - 22 - OLS Linear Regression - Without PyTorch
Segment - 23 - OLS Linear Regression From First Principles - Theory
Segment - 24 - OLS Linear Regression From First Principles - Without PyTorch
Segment - 25 - OLS Linear Regression From First Principles - With PyTorch
Segment - 26 - More OLS With PyTorch
Segment - 27 - Generalized Linear Models (GLMs) - Theory
Segment - 28 - Logistic Regression - Without PyTorch
Segment - 29 - Logistic Regression - With PyTorch
Segment - 30 - Introduction
Segment - 31 - PyTorch ANN Syntax
Segment - 32- What Are Activation Functions?
Segment - 33 - More on Back Propagation
Segment - 34 - Bringing them Together
Segment - 35 - Setting up ANN Analysis with PyTorch
Segment - 36 - DNN Analysis with PyTorch
Segment - 37 - More DNNs
Segment - 38 - DNNs For Identifying Credit Card Fraud
Segment - 39 - An Explanation of Accuracy Metrics
Segment - 40 - What are Images?
Segment - 41 - Read in Images in Python
Segment - 42 - Basic Image Conversions
Segment - 43 - Why AI and Deep Learning?
Segment - 44 - Artificial Neural Networks (ANN) For Image Classification
Segment - 45 - Deep Neural Networks (DNN) For Image Classification