关于“Build a DNN using the Keras Functional API”的评价

评论

great

Jossy C. · 评论almost 2 years之前

John M. · 评论almost 2 years之前

andres y. · 评论almost 2 years之前

Rael J. · 评论almost 2 years之前

Sanskar G. · 评论almost 2 years之前

Indrajid P. · 评论almost 2 years之前

Rahul S. · 评论almost 2 years之前

Ozod X. · 评论almost 2 years之前

Vikas T. · 评论almost 2 years之前

Hitesh K. · 评论almost 2 years之前

Wojciech K. · 评论almost 2 years之前

ERICK J. · 评论almost 2 years之前

RAUL A. · 评论almost 2 years之前

Kendall R. · 评论almost 2 years之前

Shivang P. · 评论almost 2 years之前

Sasikumar C. · 评论almost 2 years之前

Fayola Saphira Z. · 评论almost 2 years之前

Digvijay S. · 评论almost 2 years之前

Harold M. · 评论almost 2 years之前

Daniel Alcides C. · 评论almost 2 years之前

Some of the instructions mismatched the lab slightly (the instructions said I would "learn how to import a csv using tf.data", but this part of the lab was not something I needed to fill out. Also, within Jupyterlab, I think I'm prevented from copying-and-pasting code from the solution to the lab file. That's fine in principle (I understand the code snippets much better when I need to type them out), but the final code section to be typed was highly repetitive, meaning that much of my focus in this lab was spent just copying over long strings of digits exactly (rather than understanding the most important function calls that I wrote).

Evan W. · 评论almost 2 years之前

Rhys P. · 评论almost 2 years之前

Rhys P. · 评论almost 2 years之前

Rhys P. · 评论almost 2 years之前

Jorge V. · 评论almost 2 years之前

我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。