TensorFlow 2.0 Practical (Udemy.com)

This course provides: 1) Basic intro to ML 2) Several practical examples which can be used in the future as reference for model training and few ML tools (TF server, Tensorboard..) But the cons I experienced are: 1) It does not delve deep enough into the underlying scientific explanations. Sometimes even a simple intuition walk-through would make the model/layers/training process etc much more understandable. For example many times there are optimizers or target functions used without any explanation as to why they are good/different/more suitable the ones used in the previous model. 2) The example notebooks are not up to date and need fixing since the used packages have been updated since this course was made.

Great introduction to machine learning! I am 100% satisfied. This course is very well structured: - The instructor has a clear, enthusiastic and motivational presentation style. He is clearly very knowledgeable and passionate about the topic. - The amount of theory and practice is very well balanced. Explanations are illustrated by examples and followed by "challenges" which help you understand. - The projects are interesting and challenging but not overwhelming.

The course is awesome. I love all the different examples. If you are looking for improvement, sometimes it would be great to get additional hints or further explanations. For example out of the blue you use a specific numpy coding, which is not discussed before. Looking forward to the course "TensorFlow Advanced".

The instructor was very knowledgeable and very articulate. I only knocked half a star off as there were some examples that did not work but it more due to the tensorflow/python apis no longer available. One of the better online courses that I have taken on Tensorflow.

Very good clarification for all topics

Yes it is a very helpful course to learn TensorFlow with some good applied projects. couple of things that I believe brings more value out of this course will be (may be covered in some more advance course) to include some project where getting and collecting the data from web or web-scraping or taking the streaming data from social media are included in the course. Plus using some newer data sets will also be helpful. Genrally it is an excellent course :)

Very minimalistic details about tensorflow. Its more of project based, but it would have been better if the course covered alot of applications of various functions of tensorflow.

Very good for beginners. Good theoretical part explanations. Poor practical part.

Great looking course and instructor is excellent! Did want to review it but need to switch to Pytorch.

Excellent course the instructor is very clear and is very experienced

Dr. you just save my life.
I am a Ph.D. student in South Korea.
My prof. ask me to use machine learning.
You are my life saver.

The course aimed for beginners in TF 2.0 and Keras and covered more of the syntactical approach of their implementation. The slide based concepts could be replaced with more of a live teaching methodology. Other areas such as TF implementation on text, speech etc. using RNN were missing, the addition of which covered the foundational concepts with ease. Overall a good course for beginner starting out with TF 2.0 and keras, aiming to learn syntactical approaches of the deep learning library and frameworks.