10最好的Keras教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 Keras 技能并获得 Keras 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 Keras 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的Keras教程推荐

课程名 在校生（人数） 评论（计数）
1. Artificial Neural Networks (ANN) with Keras in Python and R 我们的最佳选择 152507+ 835+
2. Deep Learning with Python and Keras 22806+ 3038+
3. Deep Learning with Keras 12593+ 36+
4. Practical Deep Learning with Tensorflow 2.x and Keras 2469+ 408+
5. Keras: Deep Learning in Python 1063+ 154+
6. Sentiment Analysis with LSTM and Keras in Python 775+ 49+
7. Complete Keras Bootcamp For Deep Learning in Python 591+ 61+
8. The Deep Learning Masterclass: Classify Images with Keras 448+ 83+
9. Advanced Deep Learning with Keras 415+ 60+
10. Deep Learning Project Building with Python and Keras 372+ 34+

1. Artificial Neural Networks (ANN) with Keras in Python and R 经过 Start-Tech Academy Udemy课程 我们的最佳选择

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

截至目前，超过 152507+ 人们已经注册了这门课程，而且已经结束了 835+ 评论.

课程内容
Introduction
Setting up Python and Jupyter Notebook
Setting up R Studio and R Crash Course
Single Cells – Perceptron and Sigmoid Neuron
Neural Networks – Stacking cells to create network
Important concepts: Common Interview questions
Standard Model Parameters
Tensorflow and Keras
Dataset for classification problem
Python – Building and training the Model
R – Building and training the Model
Python – Regression problems and Functional API
R – Regression Problem and Functional API
Python – Saving and Restoring Models
R – Saving and Restoring Models
Python – Hyperparameter Tuning
R – Hyperparameter Tuning
Add on : Data Preprocessing
Test Train Split
Congratulations & about your certificate

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2. Deep Learning with Python and Keras 经过 “Data Weekends, Jose Portilla, Francesco Mosconi” Udemy课程

“Understand and build Deep Learning models for images, text and more using Python and Keras”

截至目前，超过 22806+ 人们已经注册了这门课程，而且已经结束了 3038+ 评论.

课程内容
Welcome to the course!
Data
Machine Learning
Deep Learning Intro
Gradient Descent
Convolutional Neural Networks
Cloud GPUs
Recurrent Neural Networks
Improving performance

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3. Deep Learning with Keras 经过 Uplatz Training Udemy课程

“Deep Learning & Keras concepts, model, layers, modules. Build a Neural Network and Image Classification Model with Keras”

截至目前，超过 12593+ 人们已经注册了这门课程，而且已经结束了 36+ 评论.

课程内容
“Introduction to Deep Learning & Keras
Keras – Models, Layers and Modules
Keras – Model Compilation, Evaluation and Prediction
Life-Cycle for Neural Network Models in Keras
Building our first Neural Network with Keras
Building Image Classification Model with Keras”

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4. Practical Deep Learning with Tensorflow 2.x and Keras 经过 Dr. Mohammad Nauman Udemy课程

Learn to apply Tensorflow to YOUR problems. Follow a complete pipeline including pre-processing and training for ML.

截至目前，超过 2469+ 人们已经注册了这门课程，而且已经结束了 408+ 评论.

课程内容
Introduction
A Bit of Theory
Installation and Setup
Say Hi to Keras
Real World Case Study: Predicting Protein Functions
Convolutional Neural Networks (CNN)
Graph-based Models
Finishing Touches
Transfer Learning Practical
Extra Resources

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5. Keras: Deep Learning in Python 经过 Francisco Juretig Udemy课程

Build complex deep learning algorithms easily in Python

截至目前，超过 1063+ 人们已经注册了这门课程，而且已经结束了 154+ 评论.

课程内容
Introduction
Keras fundamentals
Scikit-learn and Keras
Classes for images
Multilayer Perceptron
Convolutional Neural Nets
Recurrent neural networks

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6. Sentiment Analysis with LSTM and Keras in Python 经过 Abhishek Kumar Udemy课程

Learn how to do Sentiment Classification using LSTM in Keras and Python.

截至目前，超过 775+ 人们已经注册了这门课程，而且已经结束了 49+ 评论.

课程内容
Introduction
Sentiment Analysis Workflow
Sentiment Analysis with Keras
Word Representations
LSTM Layer
Putting it all Together
Conclusion

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7. Complete Keras Bootcamp For Deep Learning in Python 经过 Minerva Singh Udemy课程

Master Practical Neural Networks and Deep Learning With the Keras Framework in Python

截至目前，超过 591+ 人们已经注册了这门课程，而且已经结束了 61+ 评论.

课程内容
Welcome To The Course
Introduction to Python Data Science Packages
Introduction to Keras
Some Basic Concepts
Neural Networks With Keras
Unsupervised Learning With Keras
Deep Learning For Tensorflow & Keras
Convolution Neural Network (CNN) For Image Analysis

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8. The Deep Learning Masterclass: Classify Images with Keras 经过 “Mammoth Interactive, John Bura” Udemy课程

“Build models with Python, TensorFlow, PyCharm, API & CIFAR-10. Learn machine learning, neural networks, & convolutions!”

截至目前，超过 448+ 人们已经注册了这门课程，而且已经结束了 83+ 评论.

课程内容
DAY 1: Learn to Use PyCharm
DAY 2: Learn Python Language Basics
DAY 3: Understand Machine Learning Neural Networks
DAY 4: Explore the Keras API
DAY 5: Format Datasets and Examine CIFAR-10
DAY 6: Build the Image Classifier Model
DAY 7: Save and Load Trained Models
Source Material
Bonus

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9. Advanced Deep Learning with Keras 经过 Packt Publishing Udemy课程

Explore Deep Learning with Keras

截至目前，超过 415+ 人们已经注册了这门课程，而且已经结束了 60+ 评论.

课程内容
Introduction to Deep Learning
Get Started with Keras
Convolutional and Recurrent Neural Networks
Recommender Systems
Neural Style Transfer
Advanced Techniques
Generative Adversarial Networks

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10. Deep Learning Project Building with Python and Keras 经过 “Mammoth Interactive, John Bura” Udemy课程

“Learn to make Android Keras image recognition models! This epic course covers Android Studio, Java, TensorFlow and more”

截至目前，超过 372+ 人们已经注册了这门课程，而且已经结束了 34+ 评论.

课程内容
Introduction to Machine Learning + Software
Android Studio
Java
App Development
Machine Learning Concepts
Python Language Basics
Challenge! Python Coding Exercises
TensorFlow
Image Analysis with Keras
Simple MNIST
Simple CIFAR-10
Detecting Faces
Detecting Emotions
Advanced MNIST
Advanced CIFAR-100
Bonus

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下面是一些关于学习的常见问题Keras

学习Keras需要多长时间？

“学习Keras需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 Keras 是为了什么？你的出发点在哪里？您是初学者还是有使用 Keras 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 Keras.

Keras 学起来容易还是难？

不，学习 Keras 对大多数人来说并不难。检查这个 关于如何学习的课程 Keras 立刻！

如何快速学习Keras？

学习 Keras 最快的方法是先得到这个 Keras 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 Keras？

如果您想探索和学习 Keras，那么 Udemy 为您提供了学习 Keras 的最佳平台。查看此 关于如何学习的课程 Keras 立刻！