
Total Courses 137
What is TensorFlow Lite?
What is Machine Learning?
What is Deep Learning?
What is Torch?
What is Data Visualization?
What is Automotive?
What is TensorFlow?
What is Pattern Recognition?
What is Image Analysis?
What is Smart Robots?
What is Chainer?
What is Deeplearning4j?
What is Telecom?
What is Keras?
What is OpenCV?
What is Wolfram?
What is Weka?
What is RapidMiner?
What is H2O?
What is DataRobot?
What is Robotics?
What is PredictionIO?
What is Kubeflow?
What is Mobile Development?
What is Mathematica?
What is Pandas?
What is Azure?
What is MLOps?
What is MLflow?
What is ML.NET?
What is Amazon Web Services (AWS)?
What is Quantum Computing?
What is Computer Vision?
What is OpenNN?
What is Facebook NMT?
What is Face Recognition?
What is GPU?
What is Data Analysis?
What is Apache SystemML?
What is Apache SINGA?
What is AutoML?
What is Auto-Keras?
What is Auto-sklearn?
What is H2O AutoML?
What is Apache MXNet?
What is OpenVINO?
What is Horovod?
What is Random Forest?
What is AdaBoost?
What is AlphaFold?
Total Feedbacks 50
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
The trainer was so knowledgeable and included areas I was interested in.
Data Mining & Machine Learning with R
The topic is very interesting.
Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Introduction to Deep Learning
Topic. Very interesting!.
Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.
Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Introduction to Deep Learning
The global overview of deep learning.
Advanced Deep Learning
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Advanced Deep Learning
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Advanced Deep Learning
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
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
Machine Learning and Deep Learning
The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.
Machine Learning and Deep Learning
I really enjoyed the coverage and depth of topics.
Machine Learning and Deep Learning
The deep knowledge of the trainer about the topic.
Introduction to Deep Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
TensorFlow for Image Recognition
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
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Python for Advanced Machine Learning
I genuinely liked excercises
Machine Learning
I liked the lab exercises.
Machine Learning
The Jupyter notebook form, in which the training material is available
Machine Learning
There were many exercises and interesting topics.
Machine Learning
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
Machine Learning
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.
Machine Learning
I was benefit from the passion to teach and focusing on making thing sensible.
Advanced Deep Learning
About face area.
Deep Learning for NLP (Natural Language Processing)
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Deep Reinforcement Learning with Python
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Machine Learning – Data science
I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).
Machine Learning – Data science
lots of information, all questions ansered, interesting examples
Deep Learning for Telecom (with Python)
The trainer was a professional in the subject field and related theory with application excellently
Applied AI from Scratch in Python
I started with close to zero knowledge, and by the end I was able to build and train my own networks.
TensorFlow for Image Recognition
Ewa has a passion for the subject and a huge wealth of knowledge. She impressed all of us with her knowledge and kept us all focused through the day.
Machine Learning – Data science
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Machine Learning – Data science
So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Machine Learning – Data science
Adjusting to our needs
Kubeflow
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Natural Language Processing with TensorFlow
the way he present everything with examples and training was so useful
Natural Language Processing with TensorFlow
Very knowledgeable
Natural Language Processing with TensorFlow
The excersise where we should train a network to approximate a function
Deep Learning with TensorFlow 2.0
Tomasz really know the information well and the course was well paced.
TensorFlow Extended (TFX)
having access to the notebooks to work through
Python for Advanced Machine Learning
I like that it focuses more on the how-to of the different text summarization methods
Text Summarization with Python
Total 5
Total Courses 5