Practical Deep Learning: Master PyTorch in 15 Days (Udemy.com)

good: concise and easy to follow. bad: quizzes after every two lessons are annoying. it disrupts learning flow especially if i want to do just listen to course while doing something else. put the quizzes at the end of section

Le cours est très bien organisé, avec une compréhension étape par étape. Le tout étant structuré avec soin, ça nous donne envie de continuer à apprendre chaque jour. Gros gros plus sur la présence très fréquente de quizzs, qui donnent des mini objectifs à chaque fois et donc, renforce le sentiment d'accomplissement du cours. Merci beaucoup pour ce cours !

Great course, I really appreciate how you teach all the nitty gritty details, so we understand the fundamentals even if it proves that particular code doesn't produce a helpful model. A couple of tips though: Using generic variable names like x and y make code harder to read. They are quick to type, but their meaning quickly get's lost I would also suggest naming your python scripts/notebooks in a more consistent manner. Such as 0_build_neuron.py, 1_create_embeddings.py. Something to keep them sorted and make their intentions clear. They are a bit disorganized as is. Also including a .gitignore would be a good idea, since you included a lot of raw data that shouldn't get passed to version control.

Fantastic course so far! The teacher is doing a phenomenal job of taking concepts at a consistent pace, explaining not only how to do something, but why it isn't appropriate to do it in a way that may seem more intuitive to someone like me who is an experienced software engineer. I am very excited to continue in this course!

It teaches you the basics of PyTorch and even deploys models for real world scenarios. The quizzes and exams in it helped me to bring up my confidence. If you are trying to learn PyTorch, this course would be a great starting point. The only thing I felt would make this course better is if there were a few sections on RNN/LSTM/GRU similar to CNN's .

Great course, very good teacher. I am a software Engineer that want to have a high machine learning skills. This helped me a lot to understand this area, since it's VERY different than Software, and for me personally at least, was hard to understand initially, but learning this, and coding model trainings and data preparation over and over again, got me to adapt to this new area of Machine Learning.

This course has honestly been a dream come true because you actually get to code, not just watch theory. It took me longer than 15 days to finish, more like a month and a few weeks, but I’m totally fine with that because I wanted to properly understand everything. Now I'm going to practise what I've learned, and build some projects of my own. But it's a heavy course, and a wild ride. I'm going to take a break for a day or two after this lol.

I've taken dozens of courses on Udemy over several years and this one in honestly one of the best. In terms of understanding neural networks, the approach the instructor took, starting off with a really basic example of how a neural network model would learn how to convert temps from celsius to fahrenheit, was genius. I feel like I now really understand how neural networks work.

Good course for starting pytorch. This course could be great if it is extend to share knowledge on LSTM or GRU with pytorch. Overall good course with step by step deepening the knowledge on pytorch. Nice work. Expecting more course in english related to GENAI, AGENTICAI and more.

This is an extremely useful course with a great combination of theory and practice. The syllabus is well prepared, and each part consists of its own challenge with all the needed data. The quizzes and role plays were extremely useful to stop and review my knowledge. I think it is an amazing introduction to PyTorch and ML. Thank you, Jannis and the team, for a well-prepared course, thats defently brilliant.