Aladdin Persson Courses

Object Detection Series - Deep Learning

Master object detection fundamentals and implement YOLO architectures from scratch using PyTorch, covering key metrics like IoU, NMS, and mAP with hands-on coding.

• YouTube
• 4 hours 54 minutes
• Self-Paced
• Free Video

Machine Learning Algorithms - Implementation from Scratch in Python

Discover how to implement popular machine learning algorithms from scratch using Python, covering KNN, regression, clustering, SVM, and neural networks.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Whisper Paper Explained - Robust Speech Recognition via Large-Scale Weak Supervision

A walkthrough of Whisper’s robust multilingual speech recognition model, covering weakly supervised scaling, architecture, evaluation, and long-form transcription.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Graph Convolutional Network Paper Explained

An explanation of how GCNs propagate node representations through graph connections, linking message-passing intuition to spectral derivation and node classification.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Latent Dirichlet Allocation with Gibbs Sampling Explained

A theoretical and practical walkthrough of topic modeling with LDA, focusing on posterior inference and collapsed Gibbs sampling.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Variational Autoencoder From Scratch in PyTorch

Build a variational autoencoder from scratch in PyTorch, train it on MNIST, and use it for inference and generation.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

How to Get Started with AI Art Using MidJourney - Prompt Engineering and Tips & Tricks

Learn to create AI art in Midjourney by iterating prompts, refining keywords, and using parameters to guide generated images.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

SRGAN Implementation From Scratch

Implement an SRGAN in PyTorch from scratch, building its generator, discriminator, residual blocks, and VGG-based loss for image super-resolution.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Detecting Facial Keypoints with Deep Learning

A simple deep learning solution for a Kaggle facial keypoint detection competition, predicting 15 facial landmark coordinates from small grayscale images.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Detecting Eye Disease Using Deep Learning - Kaggle Top 1% Solution, No Ensemble

Build a high-performing diabetic retinopathy image classifier by iteratively improving a baseline with preprocessing, augmentation, paired-eye information, and higher resolution.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

ProGAN Implementation From Scratch

Implement ProGAN from scratch, covering progressive growing, fade-in layers, training setup, and evaluation for high-resolution image generation.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

ProGAN Paper Walkthrough

A paper walkthrough of ProGAN’s progressive training strategy and key techniques for stabilizing high-resolution image generation.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

CycleGAN Implementation From Scratch

Implement CycleGAN from scratch for unpaired image-to-image translation between domains such as horses and zebras.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

EfficientNet From Scratch in Pytorch

Implement EfficientNet from scratch in PyTorch, including squeeze-and-excitation, inverted residual blocks, stochastic depth, and model scaling.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

How to Solve Santander Kaggle Transaction Competition - Top 1% Solution, No Ensemble

Solve Santander's anonymous transaction prediction Kaggle challenge with a simple neural network, feature engineering, and a top-1% solution without ensembling.

• YouTube
• 58 minutes
• Self-Paced
• Free Video