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From Sketch to Reality - Deep Learning Secrets for Stunning Photo Transformations
Course Overview
01 Project Preview (2:19)
02 What You'll Need (2:44)
Machine Learning Fundamentals
01 What Is Machine Learning (5:26)
02 What Is Deep Learning (7:42)
03 What Is A Neural Network (8:47)
04 What Is Unsupervised Learning (8:17)
Source Files
Data Processing
01 Load Dataset (11:07)
02 Process Photos And Sketches (15:05)
Source Files
Generative Neural Network Fundamentals
01 What Is A Generative Neural Network (7:26)
02 What Is A Convolutional Neural Network (7:04)
03 How To Build A Convolutional Neural Network (14:04)
04 How Do You Build A Generator (9:13)
Source Files
Build Neural Networks to Convert a Sketch to a Photograph
01 Build A Generator (16:48)
02 Build A Combined Model (4:05)
03 Build A Discriminator (9:07)
Source Files
Discriminator Neural Network Fundamentals
01 How Do You Build A Discriminator (8:48)
Source Files
Train the Model
01 Performance Of A Machine Learning Algorithm (4:14)
02 What Is Error (6:39)
03 What Is The Adam Optimizer (6:15)
04 Define Loss And Optimizers (11:18)
05 Build A Training Epoch (11:01)
Source Files
Test the Model
01 Test The Model (7:21)
02 How To Improve The Model (4:48)
Source Files
03 What Is A Neural Network
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