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

4.9
1,108 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

RA

Jan 6, 2021

I started this course with the intention of learning the syntax needed to implement VAEs. This course satisfied that requirement perfectly! Thank you :)

EL

Dec 13, 2020

This course was fantastic! After learning about the functional API, I found tensorflow/keras are far more flexible than I had realized and am much more excited about the possibilities.

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126 - Custom Models, Layers, and Loss Functions with TensorFlow 的 150 个评论(共 228 个)

创建者 Francesco F

Mar 2, 2022

Very useful topics explained in a clear, complete, and rigourous way.

创建者 Duc A L

Mar 14, 2021

After course, I can create your own custom model from research paper

创建者 Leah P

Feb 21, 2021

Advanced technique explained very easy way. Very informative course

创建者 Amir K

Jun 25, 2022

very excellent and effective and applicable

teacher tech very well

创建者 Vine N

Jan 24, 2022

It is a great course, easy to follow through and so much to learn!

创建者 liangyi

Dec 4, 2022

Thank you course team, you have helped many people in the world !

创建者 Victor D

Aug 25, 2022

Great classes teaching the step out of the basics with Tensorflow

创建者 Cathay D

Apr 6, 2022

Learning Points:

- create custom layers, loss functions, callbacks

创建者 Anushka N

Sep 3, 2023

Great course to level up from basic TF models to customization!

创建者 Dina L

Apr 25, 2021

Well and Clear Organised content and very friendly guided labs.

创建者 Saif U R

May 29, 2025

The courses are very short and easy. Notebooks are very handy

创建者 Abdeldjalil S

Feb 26, 2022

Mr Laurence is the best he develops my programmation skills

创建者 Luiz d

Mar 8, 2023

Very useful topics about advanced deep networks modelling

创建者 Martin T

Feb 20, 2022

Muy buen curso sumamente contento de haber lo realizado!

创建者 Sandeepa K

Jan 14, 2023

valuable course to get some deep insights to tensorflow

创建者 Muhammad A

Jul 13, 2021

Excellent Content and Easy to learn even advance things

创建者 Mala C

Feb 25, 2021

thanks, simplified and explained concepts very well.

创建者 Ed H C

Jan 23, 2021

Not an easy course to take but worth to relearning .

创建者 Nam T T

Jun 9, 2023

the course is very detailed and easy to understand

创建者 Salim L

Sep 13, 2024

I feel more confident now to work as AI Engineer

创建者 Yingding W

Apr 11, 2021

Very great and up-to-date tensorflow 2.x content

创建者 Raziel Z R

Feb 23, 2021

I must admit that it's better than I can imagine

创建者 Pablo S

Dec 17, 2023

full of great ideas and tips, great instructor

创建者 anand r

Feb 17, 2021

excelllent course to understand tensorflow api

创建者 Amit M

Jun 30, 2021

Shows the ease of developing custom models.