Aladdin Persson Courses

NeRFs- Neural Radiance Fields - Paper Explained

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Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Graph Neural Networks- A Gentle Introduction

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Gentle introduction to Graph Neural Networks, covering key concepts, properties, and variants. Learn about graph representation, information propagation, and common tasks in this emerging field of machine learning.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Deep Neural Networks for YouTube Recommendations

Explore deep neural networks for YouTube recommendations, analyzing the architecture and techniques used to enhance user experience and content discovery on the platform.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Latent Dirichlet Allocation Tutorial

Explore Latent Dirichlet Allocation in Python: Learn to implement this powerful topic modeling technique for text analysis and document classification.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Finetuning Whisper with Huggingface and Pytorch Lightning

Explore fine-tuning Whisper using Hugging Face and PyTorch Lightning for advanced speech recognition. Learn techniques to enhance model performance and adapt it to specific use cases.

• YouTube
• 6 hours 19 minutes
• On-Demand
• Free Video

ESRGAN Paper Walkthrough

Detailed walkthrough of the ESRGAN paper, exploring enhanced super-resolution techniques using generative adversarial networks for improved image upscaling and restoration.

• YouTube
• 23 minutes
• On-Demand
• Free Video

ESRGAN Implementation From Scratch

Learn to implement ESRGAN, an advanced image super-resolution technique, from scratch. Gain hands-on experience in deep learning and computer vision through step-by-step coding.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Variational Autoencoder Paper Walkthrough

Comprehensive walkthrough of the Variational AutoEncoder research paper, explaining key concepts, mathematical foundations, and practical applications in deep learning and generative modeling.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Building a Dog Breed Identifier App From Scratch - DogNet

Learn to build a dog breed identifier app from scratch, covering data collection, model training, and deployment to the Google Play Store.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Building Our First Deep Learning App From Scratch - Hello MNIST

Develop a deep learning app for digit recognition using MNIST dataset, covering model creation, app development, and publishing on the Google Play Store.

• YouTube
• 2 hours 27 minutes
• On-Demand
• Free Video

Mean Average Precision Explained and PyTorch Implementation

Learn to calculate and implement Mean Average Precision (mAP) for evaluating object detection models, with a detailed explanation and hands-on PyTorch implementation from scratch.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Intersection Over Union Explained and PyTorch Implementation

Comprehensive guide to Intersection over Union (IoU) in object detection, covering theory and practical implementation in PyTorch. Ideal for understanding this crucial metric.

• YouTube
• 22 minutes
• On-Demand
• Free Video

TensorFlow Tutorial - Model Subclassing with Keras - Part 8

Learn to build flexible TensorFlow models using Keras subclassing, including a ResNet-like model with skip connections. Gain advanced model creation skills beyond Sequential and Functional APIs.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Pytorch Seq2Seq with Attention for Machine Translation

Build a Seq2Seq model with Attention in PyTorch for German-to-English machine translation, applying it to the Multi30k dataset and learning from scratch.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Pytorch Text Generator With Character Level LSTM

Learn to build a character-level LSTM text generator in PyTorch, focusing on generating new baby names. Explore practical implementation of RNNs for creative text generation tasks.

• YouTube
• 29 minutes
• On-Demand
• Free Video