RNN

Sort options

Natural Language Processing in TensorFlow (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Deep learning in Electronic Health Records - CDSS 2 (Coursera)

Dec 12th 2022
Deep learning in Electronic Health Records - CDSS 2 (Coursera)
Course Auditing
Categories
Effort
Languages
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, which include both [...]

Sequence Models (Coursera)

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language [...]

Introduction to Deep Learning (Coursera)

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners [...]

Deep Learning Methods for Healthcare (Coursera)

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.

Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)

Dec 5th 2022
Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)
Course Auditing
Categories
Effort
Languages
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have [...]

Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So [...]

Introduction to Deep Learning (edX)

Aug 23rd 2021
Introduction to Deep Learning (edX)
Course Auditing
Categories
Effort
Languages
Learn how deep learning algorithms can be used to solve important engineering problems. This 3-credit-hour, 16-week course covers the fundamentals of deep learning. Students will gain a principled understanding of the motivation, justification, and design considerations of the deep neural network approach to machine learning and will complete hands-on [...]

Deep Learning Fundamentals with Keras (edX)

Self Paced
Deep Learning Fundamentals with Keras (edX)
Course Auditing
Categories
Effort
Languages
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using the popular Keras library. Looking to kickstart a career in deep learning? Look no further. This [...]

Deep Learning with Tensorflow (edX)

Self Paced
Deep Learning with Tensorflow (edX)
Course Auditing
Categories
Effort
Languages
Much of the world's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems. Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning [...]