All current Deep Learning Courses courses in 2024
635 कोर्स
Deep Learning for Bioscientists
Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.
FutureLearn
GenAI for Data Scientists
GenAI for Data Scientists
GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more.
You will gain a thorough understanding o.
Coursera
Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks
Explore a Stanford seminar on persistent and unforgeable watermarks for deep neural networks. Delve into the increasing popularity of DNNs, their training challenges, and the importance of IP protection for model owners.
Learn about various watermarking techniques,.
YouTube
Stanford CS330: Deep Multi-Task and Meta Learning
Stanford CS330: Deep Multi-Task and Meta Learning
Stanford CS330: Deep Multi-Task and Meta Learning
Embark on an 18-hour educational journey with Stanford University’s comprehensive course that delves into the forefront of multi-task and meta-learning within the sphere of artificial intelligence. This course begins with an introduction and b.
YouTube
Unlocking Speech Recognition: Deep Learning in Acoustics
Unlocking Speech Recognition: Deep Learning in Acoustics
Unlocking Speech Recognition: Deep Learning in Acoustics offers a comprehensive dive into AI communication. This course is perfect for those looking to develop speech-to-text models using TensorFlow and PyTorch.
Throughout this course, you’ll master essential techniques required to.
Pluralsight
Using Neural Networks for Image and Voice Data Analysis
Using Neural Networks for Image and Voice Data Analysis
Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data.
Deep learning, as opposed to machine learning, allows a more robust way to dea.
Pluralsight
Image Segmentation
Image Segmentation
Many of the millions of digital images we're generating need interpretation, but there aren't enough human eyes for the task. This course will teach you how to use Python libraries and deep learning models to automate image segmentation. You want your application to consume digital images and convert them to.
Pluralsight
Demystifying Image Recognition: Dive into Deep Learning
Demystifying Image Recognition: Dive into Deep Learning
In today's data-driven world, a significant amount of data is visual. This course, Demystifying Image Recognition: Dive into Deep Learning, will equip you with the skills to recognize and classify images using neural networks.
Throughout the course, you'll gain comprehensive knowledge and.
Pluralsight
TensorFlow for Deep Learning Bootcamp
TensorFlow for Deep Learning Bootcamp
Learn TensorFlow by Google and become an expert in AI, Machine Learning, and Deep Learning!
Provider: Udemy
Categories: Machine Learning Courses, Computer Vision Courses, Deep Learning Courses, TensorFlow Courses
Udemy
Create Image Captioning Models - Português Brasileiro
Crie Modelos de Legenda para Imagens - Português Brasileiro
Neste curso, ensinamos a criar um modelo de legenda para imagens usando aprendizado profundo. Você vai aprender sobre os diferentes componentes de um modelo de legenda para imagens, como o codificador e decodificador, e de que forma treinar e avaliar seu modelo.
Ao final deste curso,.
Coursera
Create Image Captioning Models - בעברית
למדו ליצור מודלי הוספת כיתוב לתמונה - בעברית
בקורס הזה תלמדו איך ליצור מודל הוספת כיתוב לתמונה באמצעות למידה עמוקה (Deep Learning). אתם תלמדו על הרכיבים השונים במודל הוספת כיתוב לתמונה, כמו המקודד והמפענח, ואיך לאמן את המודל ולהעריך את הביצועים שלו. בסוף הקורס תוכלו ליצור מודלים להוספת כיתוב לתמונה ולהשתמש בהם כדי ליצור כיתובים לתמונות.
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