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Learn Transfer Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models f…
DeepLearning.AI
In this course, you will: a) Learn neural style transfer using transfer learning: extract the content of an image (eg. swan), and the style of a painting (eg. cubist or impressionist), and combine the content and style into a new image. b) Build simple AutoEncoders on the familiar MNIST dataset, an…
Great Learning
Transfer learning is a very popular form of learning today. It aims to use a p[re-trained model to work on an entirely different dataset to see if meaningful results can be extracted when the machine learning algorithm is exposed to new data. Transfer learning is extremely popular because of the ef…
IBM
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.
DeepLearning.AI
In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection. b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own…
IBM
A short hands-on project: Data Science, Deep Learning, Machine Learning.
IBM
A short hands-on project: Data Science, Deep Learning, Keras.
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers e…
Google Cloud
This course introduces the products and solutions to solve Natural Language Processing (NLP) problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
Microsoft
Master advanced ML algorithms, deep transfer learning (Transformers and CNNs), unsupervised clustering, automated hyperparameter optimisation, and Responsible AI explainability, all within Azure Machine Learning.
Udacity
Dive into deep learning with this practical course on TensorFlow and the Keras API. Gain an intuitive understanding of neural networks without the dense jargon. Learn to build, train, and optimize your own networks using TensorFlow. The course also introduces transfer learning, leveraging pre-train…
More machine learning with ml5 and Bubble Sort Visualization 15:54 - ml5.js: Transfer Learning with Feature Extractor 1:16:40 - ml5.js: Feature Extractor Classification 1:52:00 - ml5.js: Feature Extractor Regression 3:29:03 - Coding Challenge: Bubble Sort Visualization 🔗 ml5.js: https://ml5js.org 🔗…
Avado
Craft personalised learning journeys, master facilitation techniques, and ensure knowledge sticks. This self-paced course empowers L&D professionals to design impactful learning experiences for maximum learner engagement and performance improvement.
Coursera
This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, bui…
Illinois Tech
An introduction to the field of deep learning, including neural networks, convolutional neural networks, recurrent neural networks, transformers, generative models, neural network compression and transfer learning. This course will benefit students’ careers as a machine learning engineer or data sc…
Edureka
Transfer learning has transformed modern artificial intelligence by making it possible to build powerful AI solutions without training models from scratch. This course provides a practical introduction to machine learning, neural networks, transfer learning, and transformer architectures while help…
Udacity
This course is designed for developers who want to integrate machine learning into their Python projects. It offers a high-level intuitive understanding of deep learning fundamentals and guides you through coding and training models using Multi-Backend Keras (formerly known as Keras Core)—a new ver…
