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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Alison
Embark on an exciting journey into the world of artificial intelligence (AI) with our comprehensive course from IBM experts that demystifies the technologies shaping our future. Learn what AI is, its fascinating history, and how concepts like machine learning, deep learning, and generative AI are t…
Alison
Have you ever wondered how Amazon or Netflix knows exactly which product or show to recommend to you? The answer lies in the adoption of machine learning (ML) in business. In this course, we'll explore, through real-world examples, the various applications of machine learning and deep learning acro…
Northeastern University
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering…
Northeastern University
Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various…
Northeastern University
Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various…
Northeastern University
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering…
University of Glasgow
This capstone course gives you the opportunity to bring everything you have learned in the Informed Clinical Decision Making using Deep Learning Specialization together in one hands-on, practical project. You will work with real-world critical care data from the MIMIC-III database and tackle a clin…
University of Glasgow
Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR,…
Northeastern University
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering…
University of the Arts London
This course is an introduction to Creative AI, a growing field at the intersection of machine learning and artistic practice. During the course, you’ll learn how neural networks work, how they are trained, and how they can be applied. Exploring how artificial intelligence can be used as a transform…
Northeastern University
This course provides an overview of some different concepts underpinning Generative AI, their mathematical principles, and their applications in engineering. The focus will be on the practical implementation of generative AI including, neural networks, attention mechanism, and advanced deep learnin…
Northeastern University
This is Part 1 of a two-part graduate sequence in deep learning. It establishes the foundations of modern deep learning and the core neural architectures behind today's AI systems. You will build from how neural networks learn—through forward propagation and backpropagation—to convolutional network…
Northeastern University
This course provides an overview of some different Natural Language Processing (NLP) techniques, their underlying principles, and their applications in engineering. The focus will be on the practical implementation of NLP methods such as word embeddings, neural networks, attention mechanisms, and a…
Northeastern University
This is Part 2 of a two-part graduate sequence in deep learning. Building on the foundations from Part 1, it focuses on advanced generative modeling. You will study autoregressive models, diffusion models, energy-based models, and normalizing flows; see how these techniques converge in multimodal t…
Universidades Anáhuac
En este curso aprenderás que es una red neuronal, como crear una red neuronal, entrenar una red neuronal con un conjunto de imágenes.
Universidad del Rosario
Conoce los conceptos básicos del aprendizaje automático de máquinas, usando un acercamiento algebraico. Aborda problemas de regresión, clasificación y agrupamiento, desde modelos lineales hasta modelos no-lineales utilizando redes neuronales artificiales.
Coursera
In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing da…
Google Cloud
En este curso, se explica cómo crear modelos de AA con TensorFlow y Keras, cómo mejorar la exactitud de los modelos de AA y cómo escribir modelos de AA para uso escalado.
Google Cloud
Ce cours porte sur la création de modèles de ML à l'aide de TensorFlow et Keras, l'amélioration de la précision des modèles de ML et l'écriture de modèles de ML pour une utilisation évolutive.
Google Cloud
Este curso ensina a criar modelos de ML com o TensorFlow e o Keras, melhorar a acurácia deles e desenvolver modelos para uso em escala.
