Transfer Learning Courses and Certifications

Institut des Hautes Etudes Scientifiques (IHES)

Transfer Learning, Covariant Learning and Parallel Transport

Explore transfer learning concepts, including dual algorithms, early time series classification, and connections to analogical reasoning and online learning. Gain insights into bias, information cost, and guarantees.

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

Pascal Poupart

Inverse Reinforcement Learning

Explore inverse reinforcement learning, transfer learning, and apprenticeship learning techniques to uncover underlying reward functions and improve AI decision-making processes.

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

Pascal Poupart

Feudal Networks for Hierarchical RL

Explore hierarchical reinforcement learning with FeUdal Networks, covering architecture, results, and applications in complex environments like Water Maze.

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

Weights & Biases

Explore Deep Learning - Transfer Learning, One-Shot Learning, Speech Recognition, and Neural Network Applications

Discover transfer learning, one-shot learning, speech recognition, and emotion classification through hands-on deep learning projects with CNNs and LSTMs.

• YouTube
• 1 hour 35 minutes
• Self-Paced
• Free Video

USC Information Sciences Institute

Cross-lingual Learning of Named Entities

Explore techniques for understanding and generating named entities across languages, focusing on task-oriented dialog and machine translation applications.

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

UofU Data Science

Pretraining and Finetuning in Machine Learning

Dive into the fundamental concepts of pretraining and finetuning in machine learning, exploring key techniques and applications for model optimization.

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

UofU Data Science

Pretrain-Finetune and Uncertainty Estimation in Machine Learning - Part 1

Dive into advanced machine learning concepts, from masked language modeling and pretrained vision models to uncertainty estimation and probability calibration techniques.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Leveraging Pre-training Models for Speech Processing

Explore advanced pre-training techniques for speech processing, including prosody modeling, efficient downstream task adaptation, robustness enhancement, and development of resource-efficient models.

• YouTube
• 2 hours 59 minutes
• Self-Paced
• Free Video

Unify

Teacher-Student Architecture for Knowledge Distillation Explained

Explore Teacher-Student architectures in knowledge distillation for AI model compression, expansion, adaptation, and enhancement. Gain insights into cutting-edge research and practical applications.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Eran Feit

Transfer Learn in Weather Images

Learn to classify weather images using transfer learning with Python, TensorFlow, and VGG19. Covers dataset preparation, model implementation, and image prediction.

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

Alfredo Canziani

Supervised and Self-Supervised Transfer Learning With PyTorch Lightning

Explore supervised and self-supervised transfer learning techniques using PyTorch Lightning, comparing their implementation, training, and generalization capabilities in deep learning applications.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Deep Learning with PyTorch

12 ratings at DataCamp

Learn to create deep learning models with the PyTorch library.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Text with PyTorch

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Google DeepMind’s AI Research Foundations curriculum will deepen your understanding of the AI technologies behind language models.

• DataCamp
• 33 hours
• Self-Paced
• Free Trial Available