Канал: Leo Isikdogan

Things We Do That AI Can't Master Yet

Things We Do That AI Can't Master Yet

How Diffusion Models Work

How Diffusion Models Work

I asked artificial intelligence to rate my pictures

I asked artificial intelligence to rate my pictures

Artificial Intelligence Art: Questions Answered

Artificial Intelligence Art: Questions Answered

Image Filters Explained

Image Filters Explained

Neural Networks for Babies

Neural Networks for Babies

Multi-Task Learning | Explained in 5 Minutes

Multi-Task Learning | Explained in 5 Minutes

Turning Photos into Paintings using Neural Networks

Turning Photos into Paintings using Neural Networks

Can AI Create Original Art?

Can AI Create Original Art?

SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems (ECCV 2020)

SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems (ECCV 2020)

Reward Hacking in AI

Reward Hacking in AI

Perceptual Fusion

Perceptual Fusion

How to Predict Stock Market Crashes using Mathematical Models

How to Predict Stock Market Crashes using Mathematical Models

Optical Illusions Explained

Optical Illusions Explained

How to Train Neural Networks Fast and Efficiently | Tutorial

How to Train Neural Networks Fast and Efficiently | Tutorial

How to Design a Neural Network | 2020 Edition

How to Design a Neural Network | 2020 Edition

How Super Resolution Works

How Super Resolution Works

Hanauma Bay Snorkeling Experience | Oahu, Hawaii

Hanauma Bay Snorkeling Experience | Oahu, Hawaii

Network Architecture Search: AutoML and others

Network Architecture Search: AutoML and others

VisionISP: an Image Processing Pipeline for Computer Vision Applications

VisionISP: an Image Processing Pipeline for Computer Vision Applications

Eye Contact Correction using Deep Neural Networks

Eye Contact Correction using Deep Neural Networks

Can deep learning predict the stock market?

Can deep learning predict the stock market?

Computer Science Electives

Computer Science Electives

Computer Science Curriculum

Computer Science Curriculum

How much math do you need for Computer Science?

How much math do you need for Computer Science?

What is new in TensorFlow 2.0 | Tutorial

What is new in TensorFlow 2.0 | Tutorial

7 Tips to Speak English Like a Native Speaker

7 Tips to Speak English Like a Native Speaker

TensorFlow Coding Session #7 Transfer Learning

TensorFlow Coding Session #7 Transfer Learning

TensorFlow Coding Session #6 TFRecords and Freezing Models

TensorFlow Coding Session #6 TFRecords and Freezing Models

TensorFlow Coding Session #5 Convolutional Neural Networks

TensorFlow Coding Session #5 Convolutional Neural Networks

TensorFlow Coding Session #4 Regularization, Checkpoints, and TensorBoard

TensorFlow Coding Session #4 Regularization, Checkpoints, and TensorBoard

TensorFlow Coding Session #3 Training and Validation Sets

TensorFlow Coding Session #3 Training and Validation Sets

TensorFlow Coding Session #2 Training a Model

TensorFlow Coding Session #2 Training a Model

TensorFlow Coding Session #1 Introduction

TensorFlow Coding Session #1 Introduction

Computer Vision vs Image Processing

Computer Vision vs Image Processing

How Video Compression Works

How Video Compression Works

How Image Compression Works

How Image Compression Works

How Digital Cameras Process Images

How Digital Cameras Process Images

Chicago Timelapse | Merchandise Mart, Navy Pier, Museum Campus

Chicago Timelapse | Merchandise Mart, Navy Pier, Museum Campus

Deep Learning Crash Course: Introduction

Deep Learning Crash Course: Introduction

Practical Methodology in Deep Learning

Practical Methodology in Deep Learning

Generative Adversarial Networks

Generative Adversarial Networks

Deep Unsupervised Learning

Deep Unsupervised Learning

Recurrent Neural Networks

Recurrent Neural Networks

Optimization Tricks: momentum, batch-norm, and more

Optimization Tricks: momentum, batch-norm, and more

Transfer Learning

Transfer Learning

How to Design a Convolutional Neural Network

How to Design a Convolutional Neural Network

Convolutional Neural Networks Explained

Convolutional Neural Networks Explained

Data Collection and Preprocessing

Data Collection and Preprocessing

Regularization and Data Augmentation

Regularization and Data Augmentation

Overfitting, Underfitting, and Model Capacity

Overfitting, Underfitting, and Model Capacity

Artificial Neural Networks: Going Deeper

Artificial Neural Networks: Going Deeper

Artificial Neural Networks Demystified

Artificial Neural Networks Demystified

Austin, TX Hyperlapse

Austin, TX Hyperlapse

Chicago Timelapse

Chicago Timelapse

Austin, TX Timelapse

Austin, TX Timelapse