【2022年】十大神經網路課程熱門排行推薦與優惠精選!

 

本文章推薦「Deep Learning A-Z™: Hands-On Artificial Neural Networks」、「Deep Learning: Recurrent Neural Networks in Python」、「Neural Networks in Python: Deep Learning for Beginners」等相關神經網路線上課程,讓您滿足學習的慾望。

你是否想透過線上學習得到更多的技能,增加自己的技能樹?現在是學生的您,透過線上學習可以將更多專業知識用在課業學習上更加強所學。還是您是朝九晚五的上班族,尋找可以為工作上帶來更上一層樓的技能?或您是因為興趣或想培養其他興趣?

線上課程不受地理位置影響,不受時間早晚影響,老師來自世界各地,也不受學習程度影響的特色,讓您無時無刻想學都可以,想多看幾次增加熟悉度也可以。不同領域的老師將針對不同主題滿足您的學習目的,推薦的課程項目會陸續更新,絕對提供您最熱門人氣高的線上課程。

  • 線上課程老師來自於全球,文章推薦的熱門課程除了繁中課程以外還會有機會看到簡中和英文課程,可以針對自己喜好挑選。
  • 呈現的價錢會因為一些活動而有折扣,但折扣有可能一段時間後結束而調整回原價,最終價錢煩請到課程頁面進行確認。





神經網路課程總覽

為了節省您的時間,本列表整理每個課程精要,讓您可以快速瀏覽這文章所提供的課程是否是您所需要的,點選您有興趣課程的「課程名稱」或「課程圖示」可以進一步跳到文章所屬課程的介紹區塊瞭解更多資訊。

課程名稱Deep Learning A-Z™: Hands-On Artificial Neural NetworksNeural Networks in Python: Deep Learning for BeginnersArtificial Neural Networks for Business Managers in R StudioDeep Learning: Recurrent Neural Networks in PythonArtificial Intelligence II – Hands-On Neural Networks (Java)Introduction to Artificial Neural Network and Deep LearningNeural Networks in Python from Scratch: Complete guidePractical Neural Networks & Deep Learning In Rneural networks for sentiment and stock price predictionMachine Learning: Build neural networks in 77 lines of code
課程圖示
1

Deep Learning A-Z™: Hands-On Artificial Neural Networks

2

Neural Networks in Python: Deep Learning for Beginners

3

Artificial Neural Networks for Business Managers in R Studio

4

Deep Learning: Recurrent Neural Networks in Python

5

Artificial Intelligence II - Hands-On Neural Networks (Java)

6

Introduction to Artificial Neural Network and Deep Learning

7

Neural Networks in Python from Scratch: Complete guide

8

Practical Neural Networks & Deep Learning In R

9

neural networks for sentiment and stock price prediction

10

Machine Learning: Build neural networks in 77 lines of code

課程原價NT$ 2,990NT$ 590NT$ 2,790NT$ 2,690NT$ 2,790NT$ 2,690NT$ 2,690NT$ 790
課程售價NT$ 530NT$ 470NT$ 470NT$ 470NT$ 470NT$ 1,190NT$ 470NT$ 470
課程評價(人數)4.6 分(38,080 個評分)4.4 分(983 個評分)4.6 分(439 個評分)4.6 分(3,385 個評分)4.3 分(449 個評分)4.6 分(463 個評分)4.7 分(176 個評分)4.4 分(193 個評分)4.7 分(177 個評分)4.8 分(197 個評分)
課程時長 小時 小時7.5 小時12 小時5 小時7 小時 小時5.5 小時 小時1 小時
學生人數313,427 人88,729 人86,579 人25,638 人4,794 人2,165 人1,797 人1,589 人989 人659 人
課程特色Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| PythonYou do not need coding or advanced mathematics background for this course. Understand how predictive ANN models workGRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial IntelligenceHopfield networks, neural networks, gradient descent and backpropagation algorithms explained step by stepThe Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image RecognitionLearn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!Artificial Intelligence & Machine Learning for Practical Data Science in RHow to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scieMachine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code.
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



神經網路課程介紹

推薦的課程以倒序的方式呈現,越往下查看會看到越熱門的,期望您能找到滿意的學習主題!

10

Machine Learning: Build neural networks in 77 lines of code

Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code.
NT$ 790
NT$ 470

點擊看Udemy

課程老師Milo Spencer-Harper
課程評價4.8 分(197 個評分)
課程時長1 小時
學生人數659 人

課程介紹

From Google Translate to Netflix recommendations, neural networks are increasingly being used in our everyday lives. One day neural networks may operate self driving cars or even reach the level of artificial consciousness. As the machine learning re

瞭解更多細節

哪些人適合這堂課?

  • Anyone interested in machine learning

學習目標

  • Neural Networks
  • Machine Learning
  • Artificial Intelligence
  • Supervised Learning

關注這課程的人也購買了這些…

9

neural networks for sentiment and stock price prediction

How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie

點擊看Udemy

課程老師Dan We
課程評價4.7 分(177 個評分)
課程時長 小時
學生人數989 人

課程介紹

Let’s dive into data science with python and predict stock prices  and customer sentiment.

machine learning / ai ? How to learn machine learning in python? And what is transfer learning ? How to use it ? How to create a sentiment classification algo

瞭解更多細節

哪些人適合這堂課?

  • It’s a hands on course so Your committment to code along with me
  • beginners to intermediate students in neural networks and machine learning who already know the basics
  • students who are eager to learn and dive into one of the hottest topics currently out there
  • students who ask how to do stock market predictions with neural networks
  • students who ask how to do sentiment analysis with neural networks

學習目標

  • You can create an LSTM neural network and do a basic stock price prediction
  • You know how to do sentiment analysis with LSTM neural networks
  • You increase your knowledge and understanding of the deep learning library keras and pyhton
  • You might open up new career opportunities for you which are not only highly rewarding but also offer more job satisfaction

關注這課程的人也購買了這些…



8

Practical Neural Networks & Deep Learning In R

Artificial Intelligence & Machine Learning for Practical Data Science in R
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Minerva Singh
課程評價4.4 分(193 個評分)
課程時長5.5 小時
學生人數1,589 人

課程介紹

YOUR COMPLETE GUIDE TO PRACTICAL NEURAL NETWORKS & DEEP LEARNING IN R:       

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based dat

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哪些人適合這堂課?

  • People Wanting To Master The R & R Studio Environment For Data Science
  • Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning
  • Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R
  • Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R

學習目標

  • Be Able To Harness The Power Of R For Practical Data Science
  • Read In Data Into The R Environment From Different Sources & Carry Out Basic Pre-processing Tasks
  • Master The Theory Of Artificial Neural Networks (ANN)
  • Implement ANN For Classification & Regression Problems In R
  • Implement Deep Learning In R
  • Learn The Usage Of The Powerful H2o Package
  • Learn The Implementation Of Both ANN & DNN Using The H2o Package Of R Programming Language

關注這課程的人也購買了這些…

7

Neural Networks in Python from Scratch: Complete guide

Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!
NT$ 2,690
NT$ 1,190

點擊看Udemy

課程老師Jones Granatyr
課程評價4.7 分(176 個評分)
課程時長 小時
學生人數1,797 人

課程介紹

Artificial neural networks are considered to be the most efficient Machine Learning techniques nowadays, with companies the likes of Google, IBM and Microsoft applying them in a myriad of ways. You’ve probably heard about self-driving cars or applica

瞭解更多細節

哪些人適合這堂課?

  • Beginners who are starting to learn about Artificial Neural Networks or Deep Learning
  • People interested in the theory of Artificial Neural Networks
  • Undergraduate students who are studying subjects related to Artificial Intelligence
  • Anyone interested in Artificial Intelligence or Artificial Neural Networks

學習目標

  • Learn step by step all the mathematical calculations involving artificial neural networks
  • Implement neural networks in Python and Numpy from scratch
  • Understand concepts like perceptron, activation functions, backpropagation, gradient descent, learning rate, and others
  • Build neural networks applied to classification and regression tasks
  • Implement neural networks using libraries, such as: Pybrain, sklearn, TensorFlow, and PyTorch

關注這課程的人也購買了這些…



6

Introduction to Artificial Neural Network and Deep Learning

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition
NT$ 2,790
NT$ 470

點擊看Udemy

課程老師Seyedali Mirjalili
課程評價4.6 分(463 個評分)
課程時長7 小時
學生人數2,165 人

課程介紹

Machine learning is an extremely hot area in Artificial Intelligence and Data Science. There is no doubt that Neural Networks are the most well-regarded and widely used machine learning techniques.

A lot of Data Scientists use Neural Networks withou

瞭解更多細節

哪些人適合這堂課?

  • Beginner data scientists interested in using Artificial Neural Networks and deep learning
  • Expert data scientists interested in expanding their knowledge of how Neural Networks work internally
  • Researchers who want to design and analyze current and new Neural Networks

學習目標

  • The structure of Neural Networks
  • The learning process of Neural Networks
  • Visualization in Neural Networks
  • Deep learning and deep Neural Networks
  • How to do classification using Neural Networks
  • How to do regression and prediction using Neural Networks
  • Implementing Neural Networks in Java
  • Using Neuroph to design, test, and analyze Neural Networks

關注這課程的人也購買了這些…

5

Artificial Intelligence II – Hands-On Neural Networks (Java)

Hopfield networks, neural networks, gradient descent and backpropagation algorithms explained step by step
NT$ 2,690
NT$ 470

點擊看Udemy

課程老師Holczer Balazs
課程評價4.3 分(449 個評分)
課程時長5 小時
學生人數4,794 人

課程介紹

This course is about artificial neural networks. Artificial intelligence and machine learning are getting more and more popular nowadays. In the beginning, other techniques such as Support Vector Machines outperformed neural networks, but in the 21th

瞭解更多細節

哪些人適合這堂課?

  • This course is recommended for students who are interested in artificial intelligence focusing on neural networks

學習目標

  • Basics of neural networks
  • Hopfield networks
  • Concrete implementation of neural networks
  • Backpropagation
  • Optical character recognition

關注這課程的人也購買了這些…



4

Deep Learning: Recurrent Neural Networks in Python

GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence
NT$ 2,790
NT$ 470

點擊看Udemy

課程老師Lazy Programmer Inc.
課程評價4.6 分(3,385 個評分)
課程時長12 小時
學生人數25,638 人

課程介紹

*** NOW IN TENSORFLOW 2 and PYTHON 3 ***

Learn about one of the most powerful Deep Learning architectures yet!

The Recurrent Neural Network (RNN) has been used to obtain state-of-the-art results in sequence modeling.

This includes time series anal

瞭解更多細節

哪些人適合這堂課?

  • Students, professionals, and anyone else interested in Deep Learning, Time Series Forecasting, Sequence Data, or NLP
  • Software Engineers and Data Scientists who want to level up their career

學習目標

  • Apply RNNs to Time Series Forecasting (tackle the ubiquitous “Stock Prediction” problem)
  • Apply RNNs to Natural Language Processing (NLP) and Text Classification (Spam Detection)
  • Apply RNNs to Image Classification
  • Understand the simple recurrent unit (Elman unit), GRU, and LSTM (long short-term memory unit)
  • Write various recurrent networks in Tensorflow 2
  • Understand how to mitigate the vanishing gradient problem

關注這課程的人也購買了這些…

3

Artificial Neural Networks for Business Managers in R Studio

You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work
NT$ 590
NT$ 470

點擊看Udemy

課程老師Start-Tech Academy
課程評價4.6 分(439 個評分)
課程時長7.5 小時
學生人數86,579 人

課程介紹

You’re looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in R, right?

You’ve found the right Neural Networks course!

After completing this course you will be able to:

瞭解更多細節

哪些人適合這堂課?

  • People pursuing a career in data science
  • Working Professionals beginning their Neural Network journey
  • Statisticians needing more practical experience
  • Anyone curious to master ANN from Beginner level in short span of time

學習目標

  • Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
  • Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
  • Building a Artificial Neural Networks (ANN) in R
  • Use Artificial Neural Networks (ANN) to make predictions
  • Use R programming language to manipulate data and make statistical computations
  • Learn usage of Keras and Tensorflow libraries

關注這課程的人也購買了這些…



2

Neural Networks in Python: Deep Learning for Beginners

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

點擊看Udemy

課程老師Start-Tech Academy
課程評價4.4 分(983 個評分)
課程時長 小時
學生人數88,729 人

課程介紹

You’re looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?

You’ve found the right Neural Networks course!

After completing this course you will be abl

瞭解更多細節

哪些人適合這堂課?

  • People pursuing a career in data science
  • Working Professionals beginning their Neural Network journey
  • Statisticians needing more practical experience
  • Anyone curious to master ANN from Beginner level in short span of time

學習目標

  • Get a solid understanding of Artificial Neural Networks (ANN) and Deep Learning
  • Understand the business scenarios where Artificial Neural Networks (ANN) is applicable
  • Building a Artificial Neural Networks (ANN) in Python
  • Use Artificial Neural Networks (ANN) to make predictions
  • Learn usage of Keras and Tensorflow libraries
  • Use Pandas DataFrames to manipulate data and make statistical computations.

關注這課程的人也購買了這些…

1

Deep Learning A-Z™: Hands-On Artificial Neural Networks

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.
NT$ 2,990
NT$ 530

點擊看Udemy

課程老師Kirill Eremenko
課程評價4.6 分(38,080 個評分)
課程時長 小時
學生人數313,427 人

課程介紹

*** As seen on Kickstarter ***

Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind’s

瞭解更多細節

哪些人適合這堂課?

  • Anyone interested in Deep Learning
  • Students who have at least high school knowledge in math and who want to start learning Deep Learning
  • Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning
  • Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets
  • Any students in college who want to start a career in Data Science
  • Any data analysts who want to level up in Deep Learning
  • Any people who are not satisfied with their job and who want to become a Data Scientist
  • Any people who want to create added value to their business by using powerful Deep Learning tools
  • Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business
  • Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms

學習目標

  • Understand the intuition behind Artificial Neural Networks
  • Apply Artificial Neural Networks in practice
  • Understand the intuition behind Convolutional Neural Networks
  • Apply Convolutional Neural Networks in practice
  • Understand the intuition behind Recurrent Neural Networks
  • Apply Recurrent Neural Networks in practice
  • Understand the intuition behind Self-Organizing Maps
  • Apply Self-Organizing Maps in practice
  • Understand the intuition behind Boltzmann Machines
  • Apply Boltzmann Machines in practice
  • Understand the intuition behind AutoEncoders
  • Apply AutoEncoders in practice

關注這課程的人也購買了這些…



神經網路課程總覽

看完了一連串課程的介紹後,你是否還想要再一次進行課程總比較呢?

課程名稱Deep Learning A-Z™: Hands-On Artificial Neural NetworksNeural Networks in Python: Deep Learning for BeginnersArtificial Neural Networks for Business Managers in R StudioDeep Learning: Recurrent Neural Networks in PythonArtificial Intelligence II – Hands-On Neural Networks (Java)Introduction to Artificial Neural Network and Deep LearningNeural Networks in Python from Scratch: Complete guidePractical Neural Networks & Deep Learning In Rneural networks for sentiment and stock price predictionMachine Learning: Build neural networks in 77 lines of code
課程圖示
1

Deep Learning A-Z™: Hands-On Artificial Neural Networks

2

Neural Networks in Python: Deep Learning for Beginners

3

Artificial Neural Networks for Business Managers in R Studio

4

Deep Learning: Recurrent Neural Networks in Python

5

Artificial Intelligence II - Hands-On Neural Networks (Java)

6

Introduction to Artificial Neural Network and Deep Learning

7

Neural Networks in Python from Scratch: Complete guide

8

Practical Neural Networks & Deep Learning In R

9

neural networks for sentiment and stock price prediction

10

Machine Learning: Build neural networks in 77 lines of code

課程原價NT$ 2,990NT$ 590NT$ 2,790NT$ 2,690NT$ 2,790NT$ 2,690NT$ 2,690NT$ 790
課程售價NT$ 530NT$ 470NT$ 470NT$ 470NT$ 470NT$ 1,190NT$ 470NT$ 470
課程評價(人數)4.6 分(38,080 個評分)4.4 分(983 個評分)4.6 分(439 個評分)4.6 分(3,385 個評分)4.3 分(449 個評分)4.6 分(463 個評分)4.7 分(176 個評分)4.4 分(193 個評分)4.7 分(177 個評分)4.8 分(197 個評分)
課程時長 小時 小時7.5 小時12 小時5 小時7 小時 小時5.5 小時 小時1 小時
學生人數313,427 人88,729 人86,579 人25,638 人4,794 人2,165 人1,797 人1,589 人989 人659 人
課程特色Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| PythonYou do not need coding or advanced mathematics background for this course. Understand how predictive ANN models workGRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial IntelligenceHopfield networks, neural networks, gradient descent and backpropagation algorithms explained step by stepThe Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image RecognitionLearn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!Artificial Intelligence & Machine Learning for Practical Data Science in RHow to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scieMachine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code.
連結UdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemyUdemy



從老師查找更多課程

以上推薦的課程還沒挑到自己有興趣的嗎?
還是您有熱衷某個老師開的課程呢?
本頁除了提供神經網路的課程以外,也列出這些課程所屬的老師的主要資訊頁,您可以從下列選單中了解更多相關介紹或看他們開的其他課程,期望您最終能找到自己想學習的項目。



【2022年】十大神經網路課程熱門排行推薦與優惠精選!

參考其他資料科學線上課程

除了本文介紹的課程種類以外,想要瞭解資料科學領域還有哪些不同類型的課程值得一探究竟嗎?讓您可以從不同面向更紮實的學習,點擊參考以下其他熱門主題文章。絕對提供您最優惠人氣滿檔的課程,歡迎繼續延伸閱讀。


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