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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
2,028 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:

376 - Introduction to Deep Learning & Neural Networks with Keras 的 390 个评论(共 390 个)

创建者 Somak C

Jun 24, 2020

The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.

创建者 Dominik S

Nov 24, 2023

Extremely simplified course of ANNs, tells you how to create a simple ANN, but you are not going to learn almost anything about how it's components work together.

创建者 Jorge C

Apr 20, 2020

Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.

创建者 Simone P

Oct 3, 2019

It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.

创建者 Suresh C

Nov 5, 2019

These course is just for Introduction in Neural Network and Keras

创建者 ajay s

Mar 11, 2024

Trainer was not so good

创建者 aman p

Dec 16, 2024

bad

创建者 Bartlomiej W

Nov 11, 2025

Der Inhalt des Kurses ist sehr gut. Leider stürzt das Lab in diesem Kurs immer wieder ab, sodass man alle Vorgänge immer wiederholen muss von Grund auf. Das Abschlussprojekt konnte damit leider vorerst nicht beendet werden.

创建者 Cris G

Nov 16, 2025

It's okay. Feels like an audio AI course. No personality, which detracts from learning. I didn't feel like I learned much from this course. This course has to be coupled with another resource in order to be useful.

创建者 Alejandro S B E

Jul 2, 2025

Optional 10-15 mins lectures with more deep explanations and usage cases would be such an improvement.

创建者 Ida M

Apr 2, 2025

There is not enough explanation and tutorial on harder material(as the course progressed).

创建者 Kai Y

Oct 27, 2024

not show conflict between keras jupyter and mac m2

创建者 MOHAMED A M E

Oct 3, 2025

subpar, spending all the this time finishing the certificate to have it say the non-credit cert, defeating the point

创建者 abo o

Nov 10, 2024

chaos

创建者 Nimra M

Jul 17, 2025

Good