I am curious about the two courses: Deep Learning with TensorFlow and Deep Learning with TensorFlow 2.0.
Are their theoretical components identical? I took a brief look, my guess is yes, but the order of some of the topics were different.
I assume that the practical portions of these two courses will differ primarily in the TF/Keras syntax. Is that right?
I had the same concern.
The theoretical parts are the same. However, the code is different for the two versions.
After all the theory of NNs doesn’t change. Only the version of TensorFlow does.
The 365 Team