rupert ai Courses

Implementing a Multi-Class CNN Image Classifier in Pytorch - Computer Vision Basics Ep. 3 CIFAR10 CNN

Learn to build a CNN image classifier using PyTorch and CIFAR10 dataset. Covers data loading, model architecture, training, and validation, with practical coding examples for computer vision enthusiasts.

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

Understanding Convolution Kernels for CNNs - Computer Vision Basics - What Are Convolutions?

Explore convolutional kernels in CNNs, from basic concepts to practical applications in PyTorch. Learn visualization techniques and understand their impact on computer vision tasks.

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

Image Classification with CIFAR 10 - Computer Vision Basics Ep. 1 Loading Data

Practical guide to image classification using CIFAR10 dataset. Learn to load data, create DataLoaders, transform images, and visualize the dataset in PyTorch for computer vision tasks.

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

Masked Language Modelling - Retraining BERT with Hugging Face Trainer - Coding Tutorial

Practical guide to retraining BERT for masked language modeling using Hugging Face Trainer on the Microsoft Research Sentence Completion Challenge, with step-by-step Python implementation and performance evaluation.

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

Masked Language Modelling with Hugging Face - Microsoft Sentence Completion - Coding Tutorial

Practical guide to applying Hugging Face language models for sentence completion, covering masked language modeling, data inspection, model application, and performance evaluation.

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

Multi-Label Classification on Unhealthy Comments - Finetuning RoBERTa with PyTorch - Coding Tutorial

Learn to finetune RoBERTa for multi-label classification of unhealthy comments using PyTorch Lightning. Practical coding guide covers data preparation, model creation, training, and evaluation.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Hugging Face Transformers - The Basics - Practical Coding Guides - NLP Models (BERT/RoBERTa)

Learn the basics of Hugging Face Transformers library, including installation, pre-defined pipelines, and implementing models in PyTorch. Explore tokenization, attention masks, and model outputs in this practical coding guide.

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