Feedback
from our course participants
I came here just to get an idea of what this is. I saw an advertisement and got interested. Neural networks have always fascinated me, so I decided to give it a try. At first, I didn't have a clue what this was all about, but soon I got so much involved in this that it blew my mind! I've taken my interest in the subject not only because I'm an IT project manager and IT specialist, but because I used to teach at a university for 10 years. Let's not forget that you need to keep up to date with the latest IT developments. I find it quite absorbing, but difficult as well. I'd say that it's hard to combine your work and personal life with studies. Sometimes it's a bit much for me, and I feel like I can't keep up. Still, somehow it motivates me and forces me to concentrate.Honestly, at first I didn't understand the concept of the program and felt so much confused. After contacting my teacher, who took pains to answer all of my questions, I began to feel more relaxed and confident. Everything's fine now, except for the lack of time. It really amuses me to know that the whole team works not for the money only, but for their own sake and pleasure.You can easily notice this when you find yourself in a classroom where each student is beaming with enthusiasm. This is awesome!
I've been studying Neural Networks in Python, since July. I came into the sphere by accident. I've been thinking about changing my professional interests. I work as an IT manager. Programming is kind of close to what I specialize in, but neural networks are far from it. I decided to change my life radically, found this program, and now I'm studying it. It's a complicated course. At first, everything seemed very vague, but the teachers and senior teachers are very helpful and competent. I really appreciate it. The key point is not to be lazy, work hard, do your homework and ask questions.

I haven't come up with my diploma project yet, 'cause the work does not involve neural networks. I'll probably try something exploratory, but I haven't made up my mind yet. I'm taking part in a generative networks project - generating aircraft.

Again, there are a lot of things I don't understand, but I try to keep up with the other guys and experts.

Do your best, and everything will start to look up.

I'm a participant of the Neural Networks in Python course, which took place in February. It was a very cool course. I had to study hard and do a lot of practice to achieve results. The course provided not only essential information, but also a great deal of practical work, which helped me to sharpen my skills and bring them to a level sufficient to take part in real projects.

The teachers and senior teachers are great! Many thanks to Gerard: he was very clear about the homework, gave feedback and was always ready to offer advice.

There was a nice project at the lab, where we tried to build a generative network. We didn't finish it - it was quite complicated, but we trained some fascinating skills that are already in demand. The lectures were amazing, too. They covered pretty complex topics which are not available on the Internet, for example, how to work with text, or how to extract some meaning, and even more advanced things.

My project is recognition of crop diseases by photo which includes both designing a neural network and creating a mobile app. The project's been successful in this task. It shows 80% accuracy in disease recognition on the selected dataset. Now, I'm looking forward to working with another company, which facilitates a real laboratory and biologists ready to enhance this project for commercial development.

If you are still in two minds about the course, do not hesitate and leap on the chance to become an expert in one the most fast-developing and promising spheres.

Hello! I'd like to provide some feedback on the Deep Learning Course. I really enjoyed being a part of the course, not to mention interesting home tasks and lectures. Special thanks to my senior teacher Gerard, who was very helpful in my development. Before the course, frankly, I had a lot of difficulties in almost everything. Now, thanks to him and other instructors, I feel that I am growing and developing.

I want to thank all the organizers. I would definitely recommend this course to everyone, who is interested in Deep Learning. I've already recommended it to my friends, and now they are thinking about applying as well. I hope they'll make the right choice and decide to study here.
I'm a head of StackCom's information systems department, a satellite TV company. I've always been interested in video processing of information, remote monitoring and transmitting processed information via satellite to the center. At the same time, since the traffic is very expensive, we have already preprocessed and transmitted very little information about the objects that we detect in remote mode. For this purpose, I use single-core computers by Nvidia Jetson Nano. Thanks to my teachers everything worked out well. I've become really inspired to apply all the new information and knowledge in my business. I really enjoyed the atmosphere, the people I had to talk to, and the process of education itself.

This experience gave me a good start to try out something more complicated, such as neuro-linguistic programming with Samsung. I want to know the meaning of text, and how to calculate it.

I really liked my senior teacher, who led the course "Machine Learning". He taught us some basics in different areas of classical machine learning.

The most important thing for me is not the result itself, but the ideas that lie behind different approaches, and how these ideas correspond with my own intellect and consciousness.
I enrolled on a course in May. I was taken aback by the feeling of being engaged in some revolutionary, groundbreaking enterprise.

I studied at another university, I will not tell any names, but the whole learning process was pretty boring. Here, everything is completely different, very lively and easy to comprehend.

This course gives a general understanding of neural networks, so that you'll be able to see where neural networks are applied, and what tasks they help to solve.

As for now, I'm still working on my diploma in apartment valuation.

II'm a graduate of the University of Artificial Intelligence. I clearly remember painfully choosing between programming and mathematics when I was a student back in the 90s. At that time, programming was used to achieve known results, so it didn't hold any fascination for me, so I chose mathematics. After a while, I found out there is machine learning where you can get completely unpredictable results. I got interested and took a two-month course first, and then a full six-month course.

I enjoyed studying in a stimulating environment, and participating in all kinds of different classes and seminars, as well as doing assignments on Kaggle, where you can compete with other students.

My project was about recognizing emotions. I got my inspiration from a Microsoft project, where I saw a neural network do wonders, like telling from the photo some basic emotions a person is experiencing at the moment. I set up my mind to do something similar. Of course, you need a much bigger database to make this all work, but I'm ready to do my best to succeed.

Now, I'm studying Bayesian methods, which were used in machine learning not long before neural networks gained their popularity. In my opinion, they are a bit underestimated, and after a while both Bayesian methods and neural networks will be combined together to make predictions more accurate.
I am a student of the University of Artificial Intelligence. I've been studying for three months now, and I don't regret this at all. Learning about neural networks was fantastic!. Someone on the course compared it to fishing, which can become quite nerve-racking and consuming, too. When you dive into neural networks, you can easily spend a few hours there.

I was quite picky when I chose the courses. Google offers a free course on neural networks. However, I wanted to get systematic knowledge on the topic and learn more about machine learning and data science. The University of Artificial Intelligence met my expectations and gave me exactly what I needed.
Our graduates give their speeches at the diploma awarding ceremony
First of all, I am thrilled to see my coursemates. I'd like to thank the University, the assistants and senior teachers, and of course the founder, because he's really pushing everyone forward. For those who are studying now, I can advise you not to give up, even in difficult moments. Be persistent and follow your teachers' advice, and everything will be fine.

My diploma is in detecting barcodes in images. It turned out there is a commercial project aimed at detecting barcodes, so that the scanner is able to recognize them. Eventually, we decided to use Faster R-CNN to achieve our aim, and I managed to find an offline solution. Anyway, thank you all! I am very glad to study here, and I'm planning to continue.
Thank you all! That was an amazing experience for me! I've even found a job in my field, now I'm in Huawei, learning how to define a 5G signal with machine training. My task is to trace a signal quality and define users. I'm also learning Bayesian methods that were applied prior to networks. Thank you so much!
Let me tell you about the course. For me it was a hell of a transformation because in recent years, I've become such a bureaucrat, dealing with all kinds of bureaucratic management activities. This program literally got me out of my comfort zone and opened new horizons for me where I can finally become creative and follow my imagination.

It's so great that we all can team up to develop something brand-new, and offer an innovative product to our customers. It's not the end of our training, it's only the beginning!

My diploma thesis was "Identification of auto parts by photo". Apart from this, I also plan to estimate repair costs. For example, you take a picture of a car with a dent, which tells you what external and internal damages the car has. Next, you can put the price tags and get the total cost immediately.

I'd like to thank the University for the useful work, for the fact that it gathered us all, gave a way to a new beginning, and to the future. You and I are going to make this world a better place to live in!
Our managers will answer any questions about the course
Meri
Customer service manager
Email: info@neural-university.com
Phone / WhatsApp: +1 (646) 980-6744
Elijah
Customer service manager
Email: info@neural-university.com
Phone / WhatsApp: +1 (646) 980-6744