James Briggs Courses

Training BERT - Train With Masked-Language Modeling

Learn to fine-tune BERT models using masked language modeling in PyTorch for domain-specific NLP tasks, enhancing performance beyond out-of-the-box capabilities.

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

Sentence Similarity With Transformers and PyTorch

Learn to measure semantic similarity between sentences using BERT and PyTorch. Explore tokenization, vector creation, and cosine similarity calculation for powerful NLP applications.

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

Multi-Class Language Classification With BERT in TensorFlow

Learn to build a multi-class language classification model using BERT and TensorFlow. Covers data preprocessing, model architecture, training, and prediction with transformers for NLP tasks.

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

Identify Stocks on Reddit with SpaCy - NER in Python

Learn to extract stock mentions from Reddit using SpaCy's Named Entity Recognition, enabling automated classification and analysis of unstructured text data for financial insights.

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

How to Use the Reddit API in Python

Learn to set up, authorize, and extract data from Reddit using Python, covering API basics, data retrieval techniques, and advanced features for comprehensive subreddit analysis.

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

SPLADE - The First Search Model to Beat BM25

Explore SPLADE, a groundbreaking sparse embedding model for AI-powered search. Learn its advantages over traditional methods, implementation techniques, and potential future developments in vector search technology.

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

Chat in LangChain

Explore LangChain's chat features, including ChatOpenAI object, message types, and prompt templates. Learn to leverage these tools for enhanced AI interactions and natural language processing applications.

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

Convolutional Neural Nets Explained and Implemented in Python - PyTorch

Comprehensive guide to Convolutional Neural Networks: theory, implementation, and practical applications using Python and PyTorch for computer vision tasks like image classification.

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

Advanced Sentiment Analysis with NLP Transformers and Vector Search

Learn advanced sentiment analysis techniques using NLP transformers and vector search. Apply these methods to large datasets, generate insights, and create queryable databases for understanding customer perceptions in the hotel industry.

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

Vision Transformers Explained + Fine-Tuning in Python

Explore Vision Transformers (ViT) for image classification, from theory to implementation. Learn about attention mechanisms, patch embeddings, and fine-tuning using Hugging Face in Python.

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

Fast Zero Shot Object Detection with OpenAI CLIP

Learn zero-shot object detection and localization using OpenAI CLIP, a multi-modal deep learning model. Implement practical techniques for efficient, domain-flexible computer vision tasks without fine-tuning.

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

How to Use OpenAI Whisper to Fix YouTube Search

Learn to enhance YouTube search using OpenAI Whisper, transformers, and vector search. Build a system for precise content retrieval, transcription, and question-answering from YouTube videos.

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

GUI-Based Few Shot Classification Model Trainer - Demo

Discover how to efficiently train classification models using vector search, enabling rapid fine-tuning with minimal labeled data for improved accuracy and targeted results.

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

AlexNet and ImageNet Explained

Explore the revolutionary AlexNet CNN and ImageNet dataset, their impact on deep learning, and practical implementation using PyTorch for image classification tasks.

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

How to Use Color Histograms for Image Retrieval

Learn to use color histograms for image retrieval, including building histograms, using OpenCV, and implementing retrieval techniques. Explore pros, cons, and practical applications of this content-based approach.

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