03. Generating a Build for Learning | Mammoth Interactive

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Unity Machine Learning with Python

Gameplay

Gameplay

Unity Introduction

Have Unity experience? Jump to Section 6!
1.1 Introduction (3:13)
1.2 Unity Editor (13:20)
1.3 Moving a Cube (12:03)
1.4 Materials (8:54)
1.5 Lights (6:15)
1.6 Particle System (6:20)
1.7 Applying Physics (4:58)
1.8 Asset Store (3:11)

C# Coding - Unity Introduction

2.1 Introduction (2:08)
2.2 Variables (16:59)
2.3 Methods (16:19)
2.4 If Blocks (7:40)
2.5 Loops (12:45)

Inputs - Unity Introduction

3.1 Introduction (1:58)
3.2 Key Presses (13:35)
3.3 Moving a Player (11:03)
3.4 Jumping (10:58)
3.5 Moving Forward (7:18)
3.6 Cycling Cameras (14:07)

Prefabs - Unity Introduction

4.1 Introduction (1:49)
4.2 Introduction to Prefabs (16:51)
FAQ on Instantiating Objects
4.3 Random Angles (9:15)
FAQ on Destroying Objects
4.4 Explosion Effects (13:12)
4.5 Adding explosion effects (10:07)

Machine Learning Sled and Presents Game

Source Files
01 - Introduction (2:43)
Installing Python
02. Environment Setup (12:28)
03. Generating a Build for Learning (13:21)
04. Training Process (22:49)
05. Running the Trained Model (9:46)
06. Creating an Academy (19:30)
07 - Making a Playable Scene (15:57)
08 - Setting Reward Logic (8:42)
09 - Training Catcher Academy (10:06)
10 - External Assets (8:21)
11 - Conclusion and Challenge (9:13)

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03. Generating a Build for Learning

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