Neural Networks Training Courses - Botswana

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.

The interactive part, tailored to our specific needs.

I really appreciated the crystal clear answers of Chris to our questions.

I generally enjoyed the knowledgeable trainer.

I was amazed at the standard of this class - I would say that it was university standard.

Very good all round overview. Good background into why Tensorflow operates as it does.

I liked the opportunities to ask questions and get more in depth explanations of the theory.

The trainer very easily explained difficult and advanced topics.

I liked the new insights in deep machine learning.

We gained some knowledge about NN in general, and what was the most interesting for me were the new types of NN that are popular nowadays.

I mostly enjoyed the graphs in R :))).

Very flexible.

I generally enjoyed the flexibility.

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.

I was benefit from topic selection. Style of training. Practice orientation.

Communication with lecturers

like it all

a lot of exercises that I can directly use in my work.

Examples on real data.

neuralnet, pROC in a loop.

A wide range of topics covered and substantial knowledge of the leaders.

Lack

Big theoretical and practical knowledge of the lecturers. Communicativeness of trainers. During the course, you could ask questions and get satisfactory answers.

Practical part, where we implemented algorithms. This allowed for a better understanding of the topic.

exercises and examples implemented on them

Examples and issues discussed.

Substantive knowledge, commitment, a passionate way of transferring knowledge. Practical examples after a theoretical lecture.

Practical exercises prepared by Mr. Maciej

The informal exchanges we had during the lectures really helped me deepen my understanding of the subject

The trainer was a professional in the subject field and related theory with application excellently