Search result for Deep learning course mit Online Courses & Certifications
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Deep Learning with Python and PyTorch
by Joseph Santarcangelo- 0.0
6 Weeks
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. Including principal component analysis, data whitening, shallow autoencoders, deep autoencoders, transfer learning with autoencoders, and autoencoder applications....
$99
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. Machine Learning and Deep Learning History of Machine Learning and Deep Learning...
Pivoting to Online Teaching: Research and Practitioner Perspectives
by George Siemens , Justin Dellinger , Matt Crosslin , Tanya Joosten- 0.0
6 Weeks
This course explores research-informed, effective practices for online teaching and learning, providing guidance on how to pivot existing courses online while enhancing student success and engagement This course will support the pivot to online learning by exploring the scientific literature as well as practical actions that enable online success and equitable outcomes for all learners....
$139
Launching Innovation in Schools
- 0.0
16 Weeks
Every great teacher and every great school constantly works towards creating better learning conditions for students. Just as we hope our students become lifelong learners, we as educators should be constantly learning and improving. Image: Alyssa Napier © MIT...
$49
Pictures and Videos colorization by Artificial Intelligence✔
by SMARTER ACADEMY ✔- 4.1
1 hour on-demand video
This course presents amazing techniques to colorize and upscale any noisy old black and Wight pictures, frames or videos based on artificial intelligence, machine learning, and deep learning. Simple Introduction to artificial intelligence (AI) and deep learning for image processing and computer vision. TOP References and papers for colorization Deep learning algorithms....
$12.99
Intro to Deep Learning with PyTorch
by Luis Serrano , Alexis Cook , Soumith Chintala , Cezanne Camacho , Mat Leonard- 0.0
Approx. 2 months
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. Learn the basics of deep learning and implement your own deep neural networks with PyTorch...
Free
Deep Learning Course with Flutter & Python - Build 6 AI Apps
by Samuel Boylan-Sajous- 4.5
7 hours on-demand video
Build 6 Cutting-Edge Deep Learning Mobile Applications with Flutter & Python! Join the most comprehensive Flutter & Deep Learning course on Udemy and learn how to build amazing state-of-the-art Deep Learning applications! This course covers all the steps that one should take to create a Flutter application that uses State-of-the-Art Deep Learning approaches....
$19.99
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Android App & Game Development :Build 6 Android Apps & Games
by Raja Biswas- 4.1
2.5 hours on-demand video
Content and Overview Suitable for Everyone, through this course of 20 lectures and 1 hour of content, you’ll learn all of the MIT App Inventor Fundamentals and establish a strong understanding of the concept behind Android App Development. With these basics mastered, the course will take you through how to use Blocks to add complexity and functionality to your programs....
$11.99
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
Approx. 20 hours to complete
Week four focuses on Graph Processing, Machine Learning, and Deep Learning. Then we move to machine learning with examples from Mahout and Spark. The last topic we cover in week four introduces Deep Learning technologies including Theano, Tensor Flow, CNTK, MXnet, and Caffe on Spark. Module 4: Graph Processing and Machine Learning 9 Introduction to Deep Learning...
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. This course includes illuminating software demos of machine learning in action using SAS products. Deep learning - application areas and limitations More on deep learning (optional) Deep learning - application areas and limitations...