Complete Guide to TensorFlow for Deep Learning with Python (Udemy.com)

Overall, great overview and examples to work with! The lessons are explained at a good pace and in enough detail to successfully complete each of the projects. There were some variations needed along the way to adapt the use of TensorFlow, but with some quick searches in Stack Overflow, they were all resolved without issue for me. I'm looking forward to continuing learning from Jose through his other courses, particularly the one delving into TensorFlow 2. Keep up the great work!

Even though it is not your fault that many people experience problems with the incompatibility of installing the virtual environment for this course, I cannot get around to express my discomfort and troubles I have had with trying to install the virtual environment with its dependencies. I spend more time trying to install the environment (manually) to run Tensorflow in my Anaconda, than I spend watching the lectures and practice coding. This is pretty disappointing, even though the lectures are actually helpful and good. Nonetheless, there should be an easier way to install the course requirements. Google Colab might be one as you mentioned, but loading data into Google Colab is another time drain and overly complex. Not quite suited for the purpose of learning Tensorflow. Other then that the course content is good to get an introduction into Tensorflow.

Very detailed explanations. The step-by-step code along was really helpful for understanding the concepts and codes. The brief reviews at the end of each video/section were helpful and helped drill in the concepts.

The course was entertaining and detailed. After finishing, I have exercise code to re-read and play with, also, additional materials to continue with. I wanted links to theory at the middle of the course, now it's time to read these and practice more!

The course is designed with simple examples which are easy to understand subject, learn how and where I can use tensor flow for deep learning. Jump start to python topics was helpful. Got to know library and tuning options. suggestion about speech of talk should be slow. If face of person shown during lecture that will be great, it helps to keep students connected Sunil

This was a very fast introduction to a few aspects of tensorflow. I have some experience with ML and this class was exactly what is needed to bootstrap certain classes of problems into tensorflow solutions along with quite a bit of real-world commentary about tensorflow and other tools. I think I would have been overwhelmed without previous experience, but others may feel differently.

The seven first sections (up to and including convolutional neural networks) are highly recommended, with nicely graduated exercises and an optimal level of explanation. Starting with RNN and my onwards, it becomes a confusing race to cram as much material as possible. Explanations are rare and confusing, all examples are contrived, and basically unusable. You can skip from section 8 and look for a better course on the advanced topics

Perfect course to get familiar with the TensorFlow API and the teacher explains all concepts very well + gives good tips. Exercises could be a bit harder, to get a better sense of what it would be like to use TensorFlow in real life on new data, now one can just use the code-along lectures.

It could be better. In summary, I felt it is like "ok, code this, then this and that". Use these parameters etc. I felt the lacking in explanation to "next, we setup the function to address this, and that etc. In most times, it doesn't layout a higher level of explanation to the approach to build up codes.

Great Course!!! Thanks Jose I loved the course. My suggestion would be to add more real-life examples and little faster. I tried speeding up with 1.5 but didn't like that way.