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返回到 Introduction to Deep Learning & Neural Networks with Keras

学生对 IBM 提供的 Introduction to Deep Learning & Neural Networks with Keras 的评价和反馈

4.7
1,986 个评分

课程概述

This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning....

热门审阅

SS

Jun 29, 2020

Such a wonderful and high tech course in the world and it is provided by ibm and coursera.Thank you ibm and coursera for such a opportunity.I'm glad and proud to be a part of this organization.

MP

Jun 30, 2022

Excellent introduction to the mechanics of Neural Networks in general, and the Keras application specifically. Alec is an outstanding teacher, I always appreciate his knowledge and enthusiasm.

筛选依据:

151 - Introduction to Deep Learning & Neural Networks with Keras 的 175 个评论(共 381 个)

创建者 Maximilian P

May 2, 2020

Awesome course! Very informative with useful exercises and project

创建者 Jeremy P

Dec 24, 2024

Excellent Instructor and concepts were broken down very clearly.

创建者 Abdullah K

Aug 10, 2022

Well Explained and The best part of this course is labs and quiz

创建者 Brice S

Jan 21, 2021

Excellent course some how challenging exam, a great introduction

创建者 Ziyuan W

Sep 30, 2021

Through the course I learn the basic rule of the neural network

创建者 Aniket A

Nov 3, 2020

This is a great short introductory course. I really enjoyed it.

创建者 Ayushman S

May 25, 2020

Beginner Friendly , but important advanced concepts are missing

创建者 CHALLA K S N M S

Aug 28, 2020

Awesome Course.Very nice introduction to course by instructor.

创建者 William L H

Mar 12, 2025

It was the perfect amount of lecture and labs. Learned a lot.

创建者 Aymane E a

Oct 16, 2024

I believe it is a great introductory class to get you on pace

创建者 Oneil A

Apr 26, 2020

Very good for beginners in deep learning. Easy to understand!

创建者 Ruben S S V

Aug 18, 2024

This course is 50/50 theory and practice. Excellent course !

创建者 Alejandro B

Dec 30, 2022

Great if you are not familiared with neural network concepts

创建者 Lee Y Y

Feb 9, 2020

It makes me know a brief knowledge of deep learning by keras

创建者 Tony Y S

Mar 29, 2025

This is excellent course with very well organized contents.

创建者 Ahmet A S

Apr 26, 2020

Great course for understanding the basics of deep learning

创建者 Amore H H

Jan 10, 2022

Very useful and clear. I learn a lot. Thank you so much!

创建者 Utkarsh A

Jan 19, 2022

Great course with deep content and intersting problems.

创建者 Ashish B

Apr 21, 2020

Well Explained.I would refer this course for beginners

创建者 Nakul S

Apr 10, 2020

Very well explained tutorials and challenging exercise

创建者 Mike S

Jul 31, 2025

Great course about Deep Learning and Neural Networks

创建者 Shivam K

Feb 2, 2022

Good course to know about neural networks with Keras

创建者 Rorisang S

Feb 8, 2020

Great course. I loved the presentation and material.

创建者 Safin S

Apr 1, 2023

this course increases my interest in deep learning.

创建者 Babatunde K

Apr 2, 2020

Well structure Deep learning fundamental with keras