Chevron Left
Back to Custom Models, Layers, and Loss Functions with TensorFlow

Learner Reviews & Feedback for Custom Models, Layers, and Loss Functions with TensorFlow by DeepLearning.AI

4.9
stars
1,081 ratings

About the Course

In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a
model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in
a Siamese network) in order to measure how well a model is doing and help your neural network learn from training data. • Build off of
existing standard layers to create custom layers for your models, customize a network layer with a lambda layer, understand the differences
between them, learn what makes up a custom layer, and explore activation functions. • Build off of existing models to add c...
...

Top reviews

NP

Feb 3, 2021

It is advanced TF specialization and the way contents are presented in the course are very systematically. Definitely recommended for developers already familiar with TF and wanted to explore further.

MS

Nov 24, 2020

Really great course, it teaches you all about the TF API and how to customize it for your needs, i thought only pytorch can make that as it's really pythonic, but i am a nieve noob what can i say.

Filter by: