
Total Courses 27
What is Automotive?
What is Machine Learning?
What is Deep Learning?
What is TensorFlow?
What is Neural Networks?
What is Python?
What is Image Analysis?
What is R Language?
Total Feedbacks 31
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.
Artificial Neural Networks, Machine Learning, Deep Thinking
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.
Introduction to the use of neural networks
The interactive part, tailored to our specific needs.
Introduction to the use of neural networks
I really appreciated the crystal clear answers of Chris to our questions.
Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple
I generally enjoyed the knowledgeable trainer.
Neural Networks Fundamentals using TensorFlow as Example
I was amazed at the standard of this class - I would say that it was university standard.
Neural Networks Fundamentals using TensorFlow as Example
Very good all round overview. Good background into why Tensorflow operates as it does.
Neural Networks Fundamentals using TensorFlow as Example
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Neural Networks Fundamentals using TensorFlow as Example
I liked the new insights in deep machine learning.
Neural Network in R
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.
Neural Network in R
I mostly enjoyed the graphs in R :))).
Neural Network in R
Very flexible.
Artificial Neural Networks, Machine Learning and Deep Thinking
I generally enjoyed the flexibility.
Artificial Neural Networks, Machine Learning and Deep Thinking
Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for.
Neural Networks Fundamentals using TensorFlow as Example
I was benefit from topic selection. Style of training. Practice orientation.
Neural Networks Fundamentals using TensorFlow as Example
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Deep Reinforcement Learning with Python
The trainer was a professional in the subject field and related theory with application excellently
Applied AI from Scratch in Python
The trainer very easily explained difficult and advanced topics.
Artificial Intelligence Overview
Communication with lecturers
Artificial Neural Networks, Machine Learning, Deep Thinking
like it all
Artificial Neural Networks, Machine Learning, Deep Thinking
a lot of exercises that I can directly use in my work.
Sieci Neuronowe w R
Examples on real data.
Sieci Neuronowe w R
neuralnet, pROC in a loop.
Sieci Neuronowe w R
A wide range of topics covered and substantial knowledge of the leaders.
Understanding Deep Neural Networks
Lack
Understanding Deep Neural Networks
Big theoretical and practical knowledge of the lecturers. Communicativeness of trainers. During the course, you could ask questions and get satisfactory answers.
Understanding Deep Neural Networks
Practical part, where we implemented algorithms. This allowed for a better understanding of the topic.
Understanding Deep Neural Networks
exercises and examples implemented on them
Understanding Deep Neural Networks
Examples and issues discussed.
Understanding Deep Neural Networks
Substantive knowledge, commitment, a passionate way of transferring knowledge. Practical examples after a theoretical lecture.
Understanding Deep Neural Networks
Practical exercises prepared by Mr. Maciej
Understanding Deep Neural Networks
Total 5
Total Courses 5