What courses do you...
 
Share:

What courses do you want to see the deeplearning.ai team build next?  

Page 4 / 4
  RSS

Nain
 Nain
(@nain)
New Member
Joined: 2 years ago
Posts: 1
01/01/2019 2:27 am  

I see a lot of people are interested in RL but I think there are many other important things that needs to be covered first. RL still has very very limited applications in the real world. It is good to explore but the applications are very limited at this point in time. Here are few things that I think are more important to cover:

Computer Vision:

  • Advanced DNN architectures: MobileNets(v1 and v2), ResNeXt, WideResNets, etc.
  • Advanced object detection: SSD, YOLOv3, RetinaNet. How it is implemented in SDCs?
  • Segmentation: UNets, DeepLab(v1, v2 and v3), DenseNet. Things in medical imaging and self driving cars
  • Optimization algorithms: Learning rate finder, Cyclic learning rates, One cycle policy, super-convergence, AdamW
  • GANs

Recommendation engines using Deep learning

NLP and Speech: BERT, UMLfit, etc.


ReplyQuote
iantimmis
(@iantimmis)
New Member
Joined: 2 years ago
Posts: 2
01/01/2019 10:33 pm  

1.) GAN

2.) RL / Deep RL

3.) AutoML

4.) HPC & ML


ReplyQuote
iantimmis
(@iantimmis)
New Member
Joined: 2 years ago
Posts: 2
01/01/2019 10:34 pm  

I would love a series that follows an individual or team from start to finish in publishing an ML paper


ReplyQuote
cl4ptp
(@cl4ptp)
New Member
Joined: 2 years ago
Posts: 4
09/01/2019 7:14 pm  

I would look forward to an advanced NLP course or specialization.


ReplyQuote
christopherbare
(@christopherbare)
New Member
Joined: 2 years ago
Posts: 1
16/02/2019 9:27 pm  
  • Advanced NLP
  • AI Engineering
    • building, training, testing, and operating deep learning systems
    • monitoring performance in production
    • integration with software systems

ReplyQuote
surendradhote
(@surendradhote)
New Member
Joined: 2 years ago
Posts: 1
21/02/2019 12:37 am  

Is there someone from India. India is the big market for AI training. I am ready to collaborate if someone is interested.

Thanks,
Surendra Dhote
Editor @ Proche Media


ReplyQuote
Soroush Hashemi Far
(@soroushhf)
Active Member
Joined: 2 years ago
Posts: 5
13/03/2019 5:42 am  

Hey there, as a matter of fact, I like to see these courses in deeplearning.ai:

1. Reinforcement Learning

2. Applications of DL in real world and industry

3. how to be creative in DL and ML

S.H.F


ReplyQuote
Mo Rebaie
(@mo-rebaie)
Estimable Member
Joined: 1 year ago
Posts: 108
01/04/2019 6:45 am  

Hello everyone, I really want to thank you a lot, the whole deeplearning.ai team for teaching us deep learning, I can't express my thankfulness for your amazing work, providing us with the tremendously helpful courses on deep learning.

a - Advanced Deep Learning In computer vision:

  1. Image Classification
  2. Image Classification With Localization
  3. Object Detection
  4. Object Segmentation
  5. Image Style Transfer
  6. Image Colorization
  7. Image Reconstruction
  8. Image Super-Resolution
  9. Image Synthesis
  10. Image generation

b- Advanced NLP in Deep Learning:

  1. Speech recognition
  2. Machine translation
  3. Object Segmentation
  4. Language modeling
  5. Semantic matching

c- I wish also to provide us with a course about how to join a Kaggle competition, so that every group of learners will be able to build a strong team to join competitions, and by that we may have a chance to share our experience as deeplearning.ai online fans at Kaggle.

 

This post was modified 1 year ago 2 times by Mo Rebaie

M.R


ReplyQuote
desais
(@desais)
New Member
Joined: 1 year ago
Posts: 1
23/04/2019 5:21 am  

Generative Adversarial Networks

Reinforcement Learning

Recommender Systems


ReplyQuote
Mo Rebaie
(@mo-rebaie)
Estimable Member
Joined: 1 year ago
Posts: 108
18/11/2019 3:27 pm  

I recommend designing a special course for GANs (generating images, Deblur images, creating video scenarios from images..). 

M.R


jcatanz liked
ReplyQuote
fabricelacout
(@fabricelacout)
New Member
Joined: 9 months ago
Posts: 1
03/01/2020 12:45 pm  

Graph Neural Networks (GNN)

There is little information about this topic, although it has a lot of applications as many real world problems can be translated to graphs.

Most work can be found on scientific article, but there is almost no implementation tutorial, popular science articles or courses. 

It seems like the field is still changing a lot with several competing model architecture, but I believe this will be a growing topic, and a course on the basics would be useful.


jcatanz liked
ReplyQuote
mathematics
(@mathematics)
New Member
Joined: 7 months ago
Posts: 1
05/03/2020 9:14 am  

First Thank you very much for providing Education through coursera and deeplearning.ai to every corners of world. 🙂 

I would also want to see these things in upcoming courses of our deeplearning.ai team:

2)   Generative adversarial networks
3)   Reinforcement learning
4) 
 Self driving Car Specialization
5)   Full Robotics and Raspberry pi specialization , 
(like Professor, Andrew told he used reinforcement learning to make AI drone to fly, took 1 year to make, hope he would help me to learn it) also added IOT 

Thanks @andrea to give our thoughts. 
This deeplearning.ai , I am grateful forever to give opportunities specially my favorite professor Andrew ng . 


ReplyQuote
Onuigwe Vitus
(@onuigwevitus)
New Member
Joined: 4 months ago
Posts: 2
16/06/2020 3:20 pm  

@atul

Nice one

 

Deep Learning Researcher


ReplyQuote
jcatanz
(@jcatanz)
New Member
Joined: 3 months ago
Posts: 1
29/06/2020 8:53 pm  

1. Probabilistic Graphical Models

2. Causal Machine Learning


ReplyQuote
Page 4 / 4
Share:

We use cookies to collect information about our website and how users interact with it. We’ll use this information solely to improve the site. You are agreeing to consent to our use of cookies if you click ‘OK’. All information we collect using cookies will be subject to and protected by our Privacy Policy, which you can view here.

OK

Please Login or Register