Basic Theory | Neural Style Transfer #2

Aleksa Gordić - The AI Epiphany · Beginner ·📄 Research Papers Explained ·6y ago
❤️ Become The AI Epiphany Patreon ❤️ ► https://www.patreon.com/theaiepiphany ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The second video in the neural style transfer series! 🎨 You'll learn about: ✔️ The basic theory behind how neural style transfer works ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ I hope the video provides you with a strong basic intuition and understanding, but for those of you who want to take it further here are some additional materials relevant to this video: papers ► ✔️(original NST paper, arxiv, old) https://arxiv.org/pdf/1508.06576.pdf ✔️(original NST paper, CVPR, new) https://www.cv-foundation.org/…
Watch on YouTube ↗ (saves to browser)

Chapters (8)

intro & NST series overview
2:25 what I want this series to be
3:30 defining the task of NST
4:01 2 types of style transfer
4:43 a glimpse of the image style transfer history
6:55 explanation of the content representation
10:10 explanation of the style representation
14:12 putting it all together (animation)

Playlist

Uploads from Aleksa Gordić - The AI Epiphany · Aleksa Gordić - The AI Epiphany · 2 of 60

1 Intro | Neural Style Transfer #1
Intro | Neural Style Transfer #1
Aleksa Gordić - The AI Epiphany
Basic Theory | Neural Style Transfer #2
Basic Theory | Neural Style Transfer #2
Aleksa Gordić - The AI Epiphany
3 Optimization method | Neural Style Transfer #3
Optimization method | Neural Style Transfer #3
Aleksa Gordić - The AI Epiphany
4 Advanced Theory | Neural Style Transfer #4
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany
5 Anyone can make deepfakes now!
Anyone can make deepfakes now!
Aleksa Gordić - The AI Epiphany
6 What is Computer Vision? | The Art of Creating Seeing Machines
What is Computer Vision? | The Art of Creating Seeing Machines
Aleksa Gordić - The AI Epiphany
7 Feed-forward method | Neural Style Transfer #5
Feed-forward method | Neural Style Transfer #5
Aleksa Gordić - The AI Epiphany
8 Alan Turing | Computing Machinery and Intelligence
Alan Turing | Computing Machinery and Intelligence
Aleksa Gordić - The AI Epiphany
9 Feed-forward method (training) | Neural Style Transfer #6
Feed-forward method (training) | Neural Style Transfer #6
Aleksa Gordić - The AI Epiphany
10 What is Google Deep Dream? (Basic Theory) | Deep Dream Series #1
What is Google Deep Dream? (Basic Theory) | Deep Dream Series #1
Aleksa Gordić - The AI Epiphany
11 Semantic Segmentation in PyTorch | Neural Style Transfer #7
Semantic Segmentation in PyTorch | Neural Style Transfer #7
Aleksa Gordić - The AI Epiphany
12 How to get started with Machine Learning
How to get started with Machine Learning
Aleksa Gordić - The AI Epiphany
13 How to learn PyTorch? (3 easy steps) | 2021
How to learn PyTorch? (3 easy steps) | 2021
Aleksa Gordić - The AI Epiphany
14 PyTorch or TensorFlow?
PyTorch or TensorFlow?
Aleksa Gordić - The AI Epiphany
15 3 Machine Learning Projects For Beginners (Highly visual) | 2021
3 Machine Learning Projects For Beginners (Highly visual) | 2021
Aleksa Gordić - The AI Epiphany
16 Machine Learning Projects (Intermediate level) | 2021
Machine Learning Projects (Intermediate level) | 2021
Aleksa Gordić - The AI Epiphany
17 Cheapest (0$) Deep Learning Hardware Options | 2021
Cheapest (0$) Deep Learning Hardware Options | 2021
Aleksa Gordić - The AI Epiphany
18 How to learn deep learning? (Transformers Example)
How to learn deep learning? (Transformers Example)
Aleksa Gordić - The AI Epiphany
19 How do transformers work? (Attention is all you need)
How do transformers work? (Attention is all you need)
Aleksa Gordić - The AI Epiphany
20 Developing a deep learning project (case study on transformer)
Developing a deep learning project (case study on transformer)
Aleksa Gordić - The AI Epiphany
21 Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained
Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained
Aleksa Gordić - The AI Epiphany
22 GPT-3 - Language Models are Few-Shot Learners | Paper Explained
GPT-3 - Language Models are Few-Shot Learners | Paper Explained
Aleksa Gordić - The AI Epiphany
23 Google DeepMind's AlphaFold 2 explained! (Protein folding, AlphaFold 1, a glimpse into AlphaFold 2)
Google DeepMind's AlphaFold 2 explained! (Protein folding, AlphaFold 1, a glimpse into AlphaFold 2)
Aleksa Gordić - The AI Epiphany
24 Attention Is All You Need (Transformer) | Paper Explained
Attention Is All You Need (Transformer) | Paper Explained
Aleksa Gordić - The AI Epiphany
25 Graph Attention Networks (GAT) | GNN Paper Explained
Graph Attention Networks (GAT) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
26 Graph Convolutional Networks (GCN) | GNN Paper Explained
Graph Convolutional Networks (GCN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
27 Graph SAGE - Inductive Representation Learning on Large Graphs | GNN Paper Explained
Graph SAGE - Inductive Representation Learning on Large Graphs | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
28 PinSage - Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Paper Explained
PinSage - Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Paper Explained
Aleksa Gordić - The AI Epiphany
29 OpenAI CLIP - Connecting Text and Images | Paper Explained
OpenAI CLIP - Connecting Text and Images | Paper Explained
Aleksa Gordić - The AI Epiphany
30 Temporal Graph Networks (TGN) | GNN Paper Explained
Temporal Graph Networks (TGN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
31 Graph Neural Network Project Update! (I'm coding GAT from scratch)
Graph Neural Network Project Update! (I'm coding GAT from scratch)
Aleksa Gordić - The AI Epiphany
32 Graph Attention Network Project Walkthrough
Graph Attention Network Project Walkthrough
Aleksa Gordić - The AI Epiphany
33 How to get started with Graph ML? (Blog walkthrough)
How to get started with Graph ML? (Blog walkthrough)
Aleksa Gordić - The AI Epiphany
34 DQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained
DQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained
Aleksa Gordić - The AI Epiphany
35 AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained
AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained
Aleksa Gordić - The AI Epiphany
36 DeepMind's AlphaGo Zero and AlphaZero | RL paper explained
DeepMind's AlphaGo Zero and AlphaZero | RL paper explained
Aleksa Gordić - The AI Epiphany
37 OpenAI - Solving Rubik's Cube with a Robot Hand | RL paper explained
OpenAI - Solving Rubik's Cube with a Robot Hand | RL paper explained
Aleksa Gordić - The AI Epiphany
38 MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | RL Paper explained
MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | RL Paper explained
Aleksa Gordić - The AI Epiphany
39 EfficientNetV2 - Smaller Models and Faster Training | Paper explained
EfficientNetV2 - Smaller Models and Faster Training | Paper explained
Aleksa Gordić - The AI Epiphany
40 Implementing DeepMind's DQN from scratch! | Project Update
Implementing DeepMind's DQN from scratch! | Project Update
Aleksa Gordić - The AI Epiphany
41 MLP-Mixer: An all-MLP Architecture for Vision | Paper explained
MLP-Mixer: An all-MLP Architecture for Vision | Paper explained
Aleksa Gordić - The AI Epiphany
42 DeepMind's Android RL Environment - AndroidEnv
DeepMind's Android RL Environment - AndroidEnv
Aleksa Gordić - The AI Epiphany
43 When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
Aleksa Gordić - The AI Epiphany
44 Non-Parametric Transformers | Paper explained
Non-Parametric Transformers | Paper explained
Aleksa Gordić - The AI Epiphany
45 Chip Placement with Deep Reinforcement Learning | Paper Explained
Chip Placement with Deep Reinforcement Learning | Paper Explained
Aleksa Gordić - The AI Epiphany
46 Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Aleksa Gordić - The AI Epiphany
47 Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Aleksa Gordić - The AI Epiphany
48 GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation | Paper Explained
GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation | Paper Explained
Aleksa Gordić - The AI Epiphany
49 VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
Aleksa Gordić - The AI Epiphany
50 VQ-GAN: Taming Transformers for High-Resolution Image Synthesis | Paper Explained
VQ-GAN: Taming Transformers for High-Resolution Image Synthesis | Paper Explained
Aleksa Gordić - The AI Epiphany
51 Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained
Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained
Aleksa Gordić - The AI Epiphany
52 Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers
Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers
Aleksa Gordić - The AI Epiphany
53 AudioCLIP: Extending CLIP to Image, Text and Audio | Paper Explained
AudioCLIP: Extending CLIP to Image, Text and Audio | Paper Explained
Aleksa Gordić - The AI Epiphany
54 RMA: Rapid Motor Adaptation for Legged Robots | Paper Explained
RMA: Rapid Motor Adaptation for Legged Robots | Paper Explained
Aleksa Gordić - The AI Epiphany
55 DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained
DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained
Aleksa Gordić - The AI Epiphany
56 Channel Update: vacation, leaving Microsoft, approaching 10k subs and more!
Channel Update: vacation, leaving Microsoft, approaching 10k subs and more!
Aleksa Gordić - The AI Epiphany
57 DETR: End-to-End Object Detection with Transformers | Paper Explained
DETR: End-to-End Object Detection with Transformers | Paper Explained
Aleksa Gordić - The AI Epiphany
58 DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!
DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!
Aleksa Gordić - The AI Epiphany
59 DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained
DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained
Aleksa Gordić - The AI Epiphany
60 Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained
Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained
Aleksa Gordić - The AI Epiphany
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