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

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New Member
Joined: 6 months 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.

New Member
Joined: 6 months ago
Posts: 2
01/01/2019 10:33 pm  

1.) GAN

2.) RL / Deep RL

3.) AutoML

4.) HPC & ML

New Member
Joined: 6 months 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

New Member
Joined: 8 months ago
Posts: 4
09/01/2019 7:14 pm  

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

New Member
Joined: 4 months 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

New Member
Joined: 4 months 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.

Surendra Dhote
Editor @ Proche Media

Soroush Hashemi Far
Active Member
Joined: 8 months ago
Posts: 5
13/03/2019 5:42 am  

Hey there, as a matter of fact, I like to see these courses in

1. Reinforcement Learning

2. Applications of DL in real world and industry

3. how to be creative in DL and ML


Mo Rebaie
Eminent Member
Joined: 3 months ago
Posts: 46
01/04/2019 6:45 am  

Hello everyone, I really want to thank you a lot, the whole 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 online fans at Kaggle.


This post was modified 3 months ago 2 times by Mo Rebaie


New Member
Joined: 2 months ago
Posts: 1
23/04/2019 5:21 am  

Generative Adversarial Networks

Reinforcement Learning

Recommender Systems

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