Jon Krohn, Cajoler of Datums

Praise for in-classroom Deep Learning course

I took the class with Jon Krohn and could not be more pleased. Jon has a rare ability to take a complicated subject and reduce it to its fundamental elements. Instead of approaching the problems with math alone, Jon spends time crafting examples and analogies to make sure students understand the actual building blocks conceptually. That produces an epiphanic experience where we were able to visualize what is happening behind the scenes. The concepts I’ve learned in this class is something I plan to apply to real-world problems and therefore highly recommend this class to anyone who wants to learn about this field. Khanan Grauer on March 20, 2018

I attended the Deep Learning course at the NY Data Science Academy that was taught by Jon Krohn during October 2017 - December 2017. Overall it was exactly what I hoped it would be. It gave me a strong foundation of all the core deep learning concepts. The class was hosted on every other saturday which allowed enough time to fully explore a particular topic between classes. Jon made a particular effort to keep the material simple and explained the concepts intuitely rather than with complicated math. Jon has great understanding of the content and is well prepared for each lesson. I thoroughly enjoyed the class and it has motivated me to pivot my career into deep learning. I would recommend this class to anyone who is passionate about deep learning but don't know where to begin. It is also great for anyone who has worked with some but not all of the deep learning techniques. — Mahipal Singareddy on February 9, 2018

Going into the course, I was slightly afraid that I would get lost in the mathematical concepts, and may not have the necessary technical know-how.  Turns out I actually had a ton of fun with this class.  Jon's class preparation goes beyond any educator I have worked with.  He is able to illustrate the complex concepts with super-easy-to-understand visulizations and/or videos.  When it came to application, he walked us through, line-by-line, all the code, and incrementally built up the complexity.  Honestly, I can't believe we were able to cover convolutional models, recurrent models, generative adversarial networks, and deep reinforcement learning in such a short time.  There was ample amount of sample code in Jupyter Notebooks to follow.  Aside from that, Jon was just super nice guy and very humble.  The course is beneficial to those that just want to learn in more detail how Artificial Intelligence can be applied, and also those that are more senior data scientists that want to add Deep Learning techniques to their tool-belt. — Richard Sheng on February 9, 2018


Praise for Deep Reinforcement Learning and GANs video tutorials

These videos contain the clearest explanation on the intuition behind GANs... Enjoyed the detailed coverage on Deep Q-Learning. — student on February 23, 2018


Praise for Deep Learning for Natural Language Processing video tutorials

This is a really good course. — Jaya Krishna on March 18, 2018

Excellent delivery and content! — student on March 18, 2018

Great course!!! — student on December 18, 2017

Enjoyed going through the NLP series. Very well structured and clearly presented. Many thanks and looking forward to new ones. — Aliya Ibragimova on December 8, 2017

Another excellent series of lectures on state of the art practices in deep learning, geared toward NLP. Dr. Jon Krohn has a gift for explaining complex concepts extremely well, backing up the theory with concrete examples using Keras. Really hoping there is more to come. Many thanks Dr. Krohn! — Basab Dattaray on November 20, 2017


Praise for Deep Learning with TensorFlow video tutorials

Best introduction I have seen for this topic. — student on March 18, 2018

Perfect to get you up and running. Great instructor. — William on March 13, 2018

Probably the best introduction course out there for Deep Learning. Really helps build the concepts from the ground up and starts with basics and covers a lot of ground into the deep. A litmus test of any good introductory course like this is to take hard-to-explain concepts and break them down into simple known concepts, which Jon does an excellent job of. He clearly knows this subject inside out and is able to bring the learner along with him in the journey. Must watch for anyone getting started from ground 0 in Deep Learning. — Neelesh on March 8, 2018

Very well explained! — Suresh Kumar Muthumal on March 2, 2018

Great step-by-step 'til you reach a good understanding for more complex architectures. — Mohamed Bahgat on February 5, 2018

Great course. — Alvaro Fuentes on January 18, 2018

Best course I've seen on Deep Learning: Explains theory very well with whiteboard and appeals to tuition; real code walking through each step; shows the process and impact of tweaking/tuning models — Brian Pfeil on December 15, 2017

The teaching was very good, content-wise and thanks a ton for putting all the code on GitHub! — Abhiram Iyenger on November 21, 2017

Very well done, the combination of whiteboard lesson and hands on code was really good. The focus of keras before going to pure tensorflow made it much easier to see the concepts. — Mats Bengtsson on November 19, 2017

Excellent - Jon has explained all the Neural Networks concepts in a very simple and easy way. Strongly recommended this course for beginners. — Vinod Basantani on November 7, 2017

I like that Jon includes all of the Docker setup in the Github site: One of the most challenging things I’ve run into is getting all of the many software packages working together. The Docker approach makes this much simpler. I’m looking forward to more, deeper (no pun intended) courses from Jon.— wjk5828 on October 31, 2017

Both just enough theory and lots of it. Really opens the world of machine learning for the student. Great work!— Nickolas Nikolic on October 23, 2017

Great course! Very well presented and explained! — P. Kovacs on September 10, 2017

Loved it. Look forward to more courses coming up from Jon. — Denzil Sequeira on August 25, 2017

I took this course as a refresher, but I still found the fundamentals to be explained in the best and simplest way. — Srinivas Rangu on August 19, 2017

Great course and great delivery. The material was definitely well presented by Dr. Krohn in a way that anyone can understand. I really like the way that all supplemental information is also available at GitHub. This really helps with hands-on learning. Kudos to Dr. Krohn!— Omar Santos on August 11, 2017

Thanks a bunch for the wonderful material presented exceptionally well, Dr. Krohn. — Basab Dattaray on August 7, 2017

Really good videos! Thank you Jon! — Fabio Salvi on July 31, 2017