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Transforming Sketches into Photos - The Deep Learning Masterclass
Mammoth Interactive Courses Introduction
Preface
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
Course Overview
Project Preview (2:19)
What You'll Need (2:44)
Mammoth Interactive Course Intro
About Mammoth Interactive (1:12)
How To Learn Online Effectively (13:46)
Source Files
Introduction to Python (Prerequisite)
Intro To Course And Python (9:57)
Variables (19:19)
Type Conversion Examples (10:06)
Operators (28:54)
Collections (8:24)
List Examples (19:41)
Tuples Examples (8:36)
Dictionaries Examples (14:26)
Ranges Examples (8:32)
Conditionals (6:43)
If Statement Examples (21:32)
Loops (29:42)
Functions (17:01)
Parameters And Return Values Examples (13:54)
Classes And Objects (34:11)
Inheritance Examples (17:29)
Static Members Examples (11:05)
Summary And Outro (4:08)
Machine Learning Fundamentals
What Is Machine Learning (5:26)
What Is Deep Learning (7:42)
What Is A Neural Network (8:47)
What Is Unsupervised Learning (8:17)
Source Files
Data Processing
Load Dataset (11:07)
Process Photos And Sketches (15:05)
Source Files
Generative Neural Network Fundamentals
What Is A Generative Neural Network (7:26)
What Is A Convolutional Neural Network (7:04)
How To Build A Convolutional Neural Network (14:04)
How Do You Build A Generator (9:13)
Source Files
Build Neural Networks to Convert a Sketch to a Photograph
Build A Generator (16:48)
Build A Discriminator (9:07)
Build A Combined Model (4:04)
Source Files
Discriminator Neural Network Fundamentals
How Do You Build A Discriminator (8:48)
Source Files
Train the Model
Performance Of A Machine Learning Algorithm (4:14)
What Is Error (6:39)
What Is The Adam Optimizer (6:15)
Define Loss And Optimizers (11:18)
Build A Training Epoch (11:01)
Source Files
Test the Model
Test The Model (7:21)
How To Improve The Model (4:47)
Source Files
Build A Training Epoch
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