Jon Krohn, Cajoler of Datums

Praise for Deep Learning for Natural Language Processing video tutorials

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 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

 

Praise for Deep Learning for Natural Language Processing training

Jon clearly has a great understanding of this topic. — student on December 8, 2017

The number of notebooks cover a lot of content. Well prepared! — student on December 8, 2017

Excellent in all respects: content, supporting materials, pace, flow, ability of the presenter to communicate and connect with the audience. In particular, I thought very wise from the presenter to, whenever time permitted it, type in real-time the code chunks needed for the demos, as it automatically works as speed control and helps the audience to absorb the material. Looking forward to more presentations by Jon Krohn -- I liked his sense of humor!  — student on December 8, 2017

Great presenter and material! — student on December 8, 2017

I enjoy Jon's presentation style and how he explains some really complicated topics at a high level. — student on December 8, 2017

Very useful and in-depth content! — student on December 8, 2017

Excellent structure and prepared notebooks. — student on December 8, 2017

This was better than i expected. I'm looking forward to digging into Jon's LiveLessons. — student on December 8, 2017

The demonstrations were great, and with real-world data sets too! — student on December 8, 2017

Jon is a very good teacher. I like his calm style of explaining complicated things. — student on December 8, 2017

Seeing the iterative process of building the neural nets was very instructional. — student on December 8, 2017

My expectations were met and exceeded. I really liked the combination of theory and hands-on solving challenges. — student on November 9, 2017

Very efficient at moving through lots of architectures and highlighting what was important/unique about them. — student on November 9, 2017

Outstanding class, best organized course I have taken so far. Its focus, expert-led instruction was top notch. — student on November 9, 2017

Krohn is an exceptional session leader. Great delivery, excellent preparation. A very good experience in every respect. — student on November 9, 2017

 

Praise for Deep Learning Fundamentals training

Jon knows the subject and the libraries very well. Good introduction to the topic of practical deep learning. — student on January 11, 2017

Great interactive lessons and thorough explanations. Also, lots of helpful resources to continue learning. — student on January 11, 2017

I liked that I could get an idea of how modelling is done in both Keras and TensorFlow directly. And I very much liked the theory input. — student on December 4, 2017

Good structure, well-prepared, interesting way of speaking/rhetoric. — student on December 4, 2017

The technical content was the best part of the training. Jon knew knew his target audience perfectly and presented the right amount of information. — Software Engineer on November 15, 2017

Covers everything necessary as a deep learning introduction. — Research Scientist on November 15, 2017

Jupyter notebooks make the process very concrete and reproducible: Thanks for sharing those! Good overall introduction to the topic. — Content Innovation Director on October 23, 2017

Too good at explaining the complex things in a simple and effective manner. — Machine Learning Engineer on September 25, 2017

Very knowledgeable and experienced instructor. Very good offline materials to follow-up on all of the topics discussed during the training in greater detail. — Data Engineer on September 25, 2017

Jon is a great presenter, thanks so much! — Sr. Software Developer on September 25, 2017

I like that he answered some basic questions I have always had about machine/deep learning that everyone has always answered with even more complicated answers. — Systems Engineer on September 25, 2017

Nice and interactive session. The explanations were on point and the examples were crisp. — Data Scientist on September 25, 2017

It was very interesting from the beginning till the end. — Implementation Engineer on September 25, 2017

The theoretical concepts were well shared and the code was also explained well in conjunction with the theory. — student on September 25, 2017

The live coding examples provide a wealth of information. — Project Manager on September 25, 2017

Great Jupyter Notebooks, almost recipe books. — Machine Learning Engineer on September 25, 2017