Chevron Left
返回到 Custom Models, Layers, and Loss Functions with TensorFlow

学生对 deeplearning.ai 提供的 Custom Models, Layers, and Loss Functions with TensorFlow 的评价和反馈

4.9
806 个评分

课程概述

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 custom functionality, learn how to define your own custom class instead of using the Functional or Sequential APIs, build models that can be inherited from the TensorFlow Model class, and build a residual network (ResNet) through defining a custom model class. The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models....

热门审阅

PK

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.

DS

Mar 29, 2021

I was looking for a course about this specific topics. Previous NN courses were cool, but I think they kep short on making more complex Architechtures, which is perfectly addressed in this course.

筛选依据:

1 - Custom Models, Layers, and Loss Functions with TensorFlow 的 25 个评论(共 175 个)

创建者 Irina G

Nov 22, 2020

创建者 Sieds M

Nov 27, 2020

创建者 Daniel E

Dec 26, 2020

创建者 Quazi R

Nov 23, 2020

创建者 Vishnu D P

Dec 14, 2020

创建者 S S

Nov 25, 2020

创建者 Bernard F

Dec 1, 2020

创建者 Moustafa S

Nov 25, 2020

创建者 Eric L

Dec 14, 2020

创建者 DEBASHIS G

Nov 23, 2020

创建者 Jay R

Dec 26, 2020

创建者 Shaik S

Nov 21, 2020

创建者 Santiago I C

Dec 10, 2020

创建者 Cristian S

Dec 2, 2020

创建者 Maryam F

Dec 21, 2020

创建者 Bhavesh W

Jan 5, 2021

创建者 Kaan B

Dec 16, 2020

创建者 Ram K K

Nov 25, 2020

创建者 Julio C M B

Jan 2, 2021

创建者 Minn B B

Dec 6, 2020

创建者 Isuru S A

Nov 20, 2020

创建者 Daniel D

Nov 21, 2020

创建者 Lam T

Nov 22, 2020

创建者 Abdelrahman A

Dec 27, 2020

创建者 Orson T M

Dec 5, 2020