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返回到 Deep Learning with Keras and Tensorflow

学生对 IBM 提供的 Deep Learning with Keras and Tensorflow 的评价和反馈

4.4
1,008 个评分

课程概述

Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In addition, Keras, a high-level neural networks API written in Python, has become an essential part of TensorFlow, making deep learning accessible and straightforward. Mastering these techniques will open many opportunities in research and industry. You will learn to create custom layers and models in Keras and integrate Keras with TensorFlow 2.x for enhanced functionality. You will develop advanced convolutional neural networks (CNNs) using Keras. You will also build transformer models for sequential data and time series using TensorFlow with Keras. The course also covers the principles of unsupervised learning in Keras and TensorFlow for model optimization and custom training loops. Finally, you will develop and train deep Q-networks (DQNs) with Keras for reinforcement learning tasks (an overview of Generative Modeling and Reinforcement Learning is provided). You will be able to practice the concepts learned using hands-on labs in each lesson. A culminating final project in the last module will provide you an opportunity to apply your knowledge to build a Classification Model using transfer learning. This course is suitable for all aspiring AI engineers who want to learn TensorFlow and Keras. It requires a working knowledge of Python programming and basic mathematical concepts such as gradients and matrices, as well as fundamentals of Deep Learning using Keras....

热门审阅

KG

Feb 3, 2025

I have seen a lot of people explaining different things in Deep Learning, but I must admit, this course should be given 10 on 10 for covering everything theory to code, basics to advanced.

ZR

Jul 2, 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

筛选依据:

51 - Deep Learning with Keras and Tensorflow 的 75 个评论(共 220 个)

创建者 Michael O

Sep 23, 2022

Good introductory course to neural networks and a few flavors of NN

创建者 javier D

Feb 9, 2025

Es un curso muy interesante por la cantidad de materia que abarca.

创建者 Leandro M

Aug 29, 2020

Excelent course, very didactic and very complete and detailed labs

创建者 Adryan R A

Jun 27, 2021

Amazing material for learner even with no experience beforehand

创建者 Lee Y Y

Feb 9, 2020

Simple and easy-to-follow course for a hard-core python package

创建者 Marcos T V

Mar 24, 2025

Very complete, the notebooks with examples are very helpful.

创建者 Ali A

Jul 31, 2020

You need a good basic python to understand for this course.

创建者 A S R

May 9, 2020

Super course for getting an overview of DNN. Thank you all.

创建者 김한준

Mar 7, 2020

Excellent lecture. i have learned so many stuff. Thank you!

创建者 Lawan I

Apr 13, 2022

The course is amazing, the instructors are professionals.

创建者 Shivam K

Feb 2, 2022

Good course to know about neural networks with tensorflow

创建者 ABIJURU B

Oct 5, 2023

Explanation is fantastic for both concepts and practice.

创建者 Thar H S

Mar 1, 2020

Thank a lot for this course! It quick and really useful.

创建者 Farhad A

Apr 18, 2020

Thank you for your generosity to share your knowledge

创建者 Abdullaev S

Apr 1, 2021

Thanks for opportunity! This course is very helpful!

创建者 Medha J

Jul 8, 2022

gives best knowledge about tensors and autoencoders

创建者 林靖翰

Jul 31, 2021

The teaching of this course is clear and complete

创建者 Vivian L

May 7, 2020

Amazing Course! Simple and distinct explanation!

创建者 SHIVAM 2

Jan 1, 2024

great experience and course is really thorough.

创建者 COURAGE B

Mar 9, 2024

Great course! Well explained all the concepts.

创建者 Tejas S

Sep 26, 2024

clear explanations and high quality labs

创建者 Osvaldo T

Aug 16, 2021

tthe ourse is very usefull and explained

创建者 Xin H

Jun 3, 2020

practical course with easy math methods

创建者 KRISH G

Jun 3, 2020

Fabulous course , easily understandable

创建者 Srishti C

Mar 5, 2025

Good Course with well designed labs