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.
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1
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Segment - 01 - Introduction
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Segment - 02 - Get Started With the Python Data Science Environment: Anaconda
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Segment - 03 - Anaconda for Mac Users
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Segment - 04 - The iPython Environment
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Segment - 05 - Why PyTorch?
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Segment - 06 - Install PyTorch
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Segment - 07 - Further Installation Instructions for Mac
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Segment - 08 - Working With CoLabs
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2
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Segment - 09 - Python Packages for Data Science
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Segment - 10 - Introduction to Numpy
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Segment - 11 - Create Numpy Arrays
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Segment - 12 - Numpy Operations
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Segment - 13 - Numpy for Basic Vector Arithmetic
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Segment - 14 - Numpy for Basic Matrix Arithmetic
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Segment - 15 - PyTorch Basics: What Is a Tensor?
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Segment - 16 - Explore PyTorch Tensors and Numpy Arrays
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Segment - 17 - Some Basic PyTorch Tensor Operations
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3
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Segment - 18 - Read in CSV Data
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Segment - 19 - Read in Excel Data
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Segment - 20 - Basic Data Exploration With Pandas
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4
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Segment - 21 - Ordinary Least Squares (OLS) Regression - Theory
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Segment - 22 - OLS Linear Regression - Without PyTorch
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Segment - 23 - OLS Linear Regression From First Principles - Theory
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Segment - 24 - OLS Linear Regression From First Principles - Without PyTorch
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Segment - 25 - OLS Linear Regression From First Principles - With PyTorch
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Segment - 26 - More OLS With PyTorch
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Segment - 27 - Generalized Linear Models (GLMs) - Theory
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Segment - 28 - Logistic Regression - Without PyTorch
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Segment - 29 - Logistic Regression - With PyTorch
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5
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Segment - 30 - Introduction
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Segment - 31 - PyTorch ANN Syntax
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Segment - 32- What Are Activation Functions?
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Segment - 33 - More on Back Propagation
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Segment - 34 - Bringing them Together
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Segment - 35 - Setting up ANN Analysis with PyTorch
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Segment - 36 - DNN Analysis with PyTorch
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Segment - 37 - More DNNs
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Segment - 38 - DNNs For Identifying Credit Card Fraud
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Segment - 39 - An Explanation of Accuracy Metrics
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6
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Segment - 40 - What are Images?
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Segment - 41 - Read in Images in Python
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Segment - 42 - Basic Image Conversions
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Segment - 43 - Why AI and Deep Learning?
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Segment - 44 - Artificial Neural Networks (ANN) For Image Classification
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Segment - 45 - Deep Neural Networks (DNN) For Image Classification
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7
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Segment - 48 - What is CNN?
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Segment - 50 - More on CNN
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Segment - 51 - Introduction to Transfer Learning: Theory
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Segment - 49 - Implementing CNN on Imaginary Data
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Segment - 52 - Implement CNN Using a Pre-Trained Model