rupert ai Courses

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

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Practical coding guide to using Hugging Face Transformers for BERT-based sentiment analysis with pipelines and PyTorch.

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

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

Builds a basic convolutional neural network in PyTorch to classify CIFAR-10 images, covering architecture, training, and validation.

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

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

Explore how convolutional kernels slide across images, transform pixels into feature maps, and build receptive fields for convolutional neural networks.

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

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

Practical coding guide to CIFAR-10 image classification, from loading and batching data to tensor transforms and visualizing low-resolution images.

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

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

Retrain a masked language model on period-appropriate novels with Hugging Face Trainer, then measure its impact on sentence-completion accuracy.

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

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

Apply a pre-trained Hugging Face masked language model to sentence completion and measure its accuracy on Microsoft's challenge.

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

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

Fine-tune RoBERTa with PyTorch to classify unhealthy online comments for sarcasm, hostility, dismissiveness, and other attributes.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video