Build a Deep Facial Recognition App from Paper to Code - Deep Learning Project Tutorial
Learn to build a deep facial recognition app using TensorFlow, from setting up dependencies to creating data structures. Implement Siamese Neural Networks for one-shot image recognition in this hands-on tutorial.
Automatic Summarization Using Deep Learning - Abstractive Summarization With Pegasus
Learn to use Pegasus for automatic text summarization with Python and Transformers. Covers installation, model configuration, and summarizing Wikipedia articles, news, and scientific papers.
Extract Drug Labels Using Deep Learning with PaddleOCR and Python
Learn to extract prescription medication labels using PaddleOCR and Python. Gain hands-on experience in optical character recognition, from installation to visualization, with potential applications in accessibility.
Getting Started with AI Powered Q&A Using Hugging Face Transformers - HuggingFace Tutorial
Learn to implement AI-powered Q&A using Hugging Face Transformers. Explore BERT, transfer learning, and practical coding with pre-trained models for your own data and solutions.
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.
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.
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.
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.
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.
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.
Learn DALL-E 2 - DALL-E 2 Beginner Tutorial
Comprehensive guide to DALL-E 2: text-to-image generation, image variations, editing, and saving. Covers basics for beginners with practical demonstrations and tips.
YouTube Video Transcript Summarizer - Hugging Face Speech-to-Text ASR - Video Summarizer Project
Learn to build a YouTube video summarizer using Python, Hugging Face ASR, and text summarization techniques. Covers audio extraction, speech-to-text conversion, and transcript summarization with live demo.
What Is Hugging Face - Crash Course - ML Products for Beginners
Comprehensive overview of Hugging Face's ML ecosystem, covering its company background, key products, and tools for NLP and machine learning, suitable for beginners without coding.
What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial
Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.
Machine Learning Engineer Mock Interview for Meta with ChatGPT
Simulated machine learning engineer interview using ChatGPT, covering key ML concepts, coding tasks, and system design. Explores AI's ability to handle technical questions and practical scenarios.
Create YOLO Dataset for Custom Object Detection Using OpenCV, PyTorch, and Python Tutorial
Learn to create custom datasets for YOLOv5 object detection, focusing on clothing items in images using OpenCV, PyTorch, and Python. Includes dataset preparation, format conversion, and file structure explanation.
3D Photo Inpainting Python Tutorial - Turn Any Picture Into 3D Photo with Machine Learning
Learn to create stunning 3D photos from regular images using machine learning and Python. Explore the process of 3D photo inpainting, from setup to final results, in this hands-on tutorial.
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.
How to Create a Neural Network and Train It to Identify Doodles
Comprehensive guide to building and training neural networks from scratch, covering key concepts and practical implementation for image recognition tasks.
Complete Natural Language Processing Tutorial in Python
Comprehensive Python tutorial covering NLP fundamentals, techniques, and state-of-the-art models. Includes practical examples using popular libraries and hands-on implementation of advanced concepts.
Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras
Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.