Python for Deep Learning: Build Neural Networks in Python (Udemy.com)

The course is an introductory level with some python examples. The knowledge presented is good (for a door opener) but: The course length is a 30 minutes at maximum. Participants are spending more time with video transitions and repetitive content than true content. Most of the videos are about 1-2 minutes with just 1 sentence of true content... CNN section must be reviewed, audio & video are not sync. The TTS engine used is even saying the slides numbers XD

Excelente, este curso es un muy buen punto de partida hacía el fascinante mundo del aprendizaje automático y profundo. El instructor es muy claro y preciso en la descripción de conceptos.

This course helped me to become more interested to go further into Deep Learning. In a 2 hour course, the instructor presented almost all the basic concepts of Deep Learning with coding examples. I really appreciate the way of teaching and making complex things interesting. I know it could be more helpful if the instructor would teach setting up the environment like Anaconda or How to use Google colab or so on, but still, I think the content is good enough to go with for a basic understanding of Deep Learning. Congratulations and thanks to the instructor.

The course is well structured, there are the best practices and goto methods which seems to be so important when dealing with so many large libraries for deep learning. I had to struggle with getting Anaconda to run but environment is an important struggle of coding to get over. I dropped half a star because it seemed more rushed nearer the end, the voiceover seemed like it was less fluent and made it hard to understand. Suggest to have diagrams available for download.

If you want to get an overview of Neural Networks, this is a perfect ,compact ,on-point structured course that you should take. This will give you and idea about structure and working of the neural networks (ANN and CNN) along with practical's. you can then deep dive into Neural Network Courses such as Andrew.Ng or other in-depth courses.

The lectures are very much easy to understand and intresting ,it doesn't feel any uncomfort just now I have started but I think I would finish it by this week

Fue un curso mejor de lo que pense, incluso por la barrera idiomatica se logra entender el sentido de la clase. Es bastante acotada pero justamente otorga la visión general para quienes inician en el campo de la inteligencia artificial

Kurs był interesujący, dał mi pewien pogląd na sieci neuronowe. Dzięki niemu zaoszczędziłem sobie przeszukiwania internetu pod kątem podstaw sieci neuronowych i wybór narzędzi

Transcription is dismal. It makes it harder to understand. Voice is chopped, so sometimes pause is in wrong place, which changes context and meaning. There are places where should be a lot more comments in code and in narration, because some functions are more advanced. As usual, some of time is just wasted at beginning and ending of each chapter, even when it spans 59 seconds. There should be more examples of different approaches and possibilities. Any 30 min YT video on mnist covers this topic in simmilar way. No reason to pay Udemy any money to finish that course

Simple and easy to understand. You need to have some basic knowledge of Python to understand this. Amazing lectures and I have more clarity on theory than the reading the whole textbook.