Build a Deep CNN Image Classifier with Any Images
Learn to build a custom deep CNN image classifier from scratch using Python, TensorFlow, and Keras. Covers data pipeline, preprocessing, network building, training, evaluation, and model saving.
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.
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.
All You Need to Know on Multilingual Sentence Vectors - 1 Model, 50+ Languages
Learn to create and use multilingual sentence vectors for cross-language text comparison. Covers techniques like multi-task training and knowledge distillation, with practical implementation and evaluation steps.
The Future of Natural Language Processing
Explore transfer learning in NLP, covering model efficiency, generalization, fine-tuning, and inductive biases. Gain insights into current trends and future directions from HuggingFace's science lead.
XLS-R: Large-Scale Cross-Lingual Speech Representation Learning on 128 Languages
Explore XLS-R, a groundbreaking cross-lingual speech model trained on 128 languages. Learn about its impressive performance in speech translation, recognition, and language identification tasks.
Deep Understanding of MNIST Problem and Its CNN Solution Using CNN Explainer
Comprehensive tutorial on MNIST problem and CNN solution using CNN Explainer. Covers dataset preparation, model architecture, training, and evaluation. Ideal for beginners in deep learning and neural networks.
Creating an Animal Segmentation Model with U-Net and TensorFlow Keras
Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.
Overfitting, Underfitting, and Random Forests in Machine Learning - Day 10
Explore overfitting, underfitting, and random forests in machine learning. Learn to build accurate models and apply these concepts to improve your ML skills.
Managing the Complete Machine Learning Lifecycle with MLflow - Part 2
Explore MLflow's capabilities for managing machine learning lifecycles, from data preparation to model deployment, with practical insights on hyperparameter optimization and production workflows.
Predictive Modeling in R With Tidymodels and NFL Attendance
Learn to train predictive models using R's tidymodels framework and NFL game attendance data. Explore data splitting, model building, evaluation, and results visualization techniques.
Subword Features in Machine Learning for Text
Explore machine learning techniques for text analysis using tidymodels to predict Hawaii post offices from their names, with practical code examples and performance evaluation.
Build a Predictive Text Model for Avatar: The Last Airbender with Tidymodels
Predict Avatar: The Last Airbender speakers using text features and tidymodels in R. Learn model-agnostic variable importance and handle class imbalance in this data analysis tutorial.
Fine-Tuning LLM with QLoRA on Single GPU - Training Falcon-7b on ChatBot Support FAQ Dataset
Learn to fine-tune Falcon-7b LLM on a custom dataset using QLoRA. Covers model loading, LoRA adapter implementation, fine-tuning, progress monitoring, and performance evaluation on chatbot support FAQs.
End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik
Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.
Medical Polyp Image Segmentation with U-Net and TensorFlow Keras
Step-by-step guide to implement U-Net for medical polyp image segmentation using TensorFlow/Keras, covering data preprocessing, model architecture, training, and evaluation.
Introduction to Text Analytics with R - Model Metrics
Explore advanced model evaluation techniques, including sensitivity and specificity, feature engineering, and improving model performance beyond accuracy in text analytics using R.
Building Realistic Machine Learning Systems for Security
Explore building robust machine learning systems for malware detection, addressing challenges like low false positive rates, polluted data, and realistic adversarial attacks in security applications.
Evaluating NLP Models via Contrast Sets
Explore how contrast sets reveal NLP model limitations by exposing systematic gaps in test data, offering insights into true linguistic capabilities and decision boundaries.
TensorFlow Tutorial 2022
Comprehensive TensorFlow tutorial covering tensors, data handling, neural networks, and model building. Learn to create, compile, and evaluate machine learning models using practical examples.