Table of Contents

**What is Keras?**

Keras is a high-level neural network Python library that acts as an interface for the TensorFlow library. It’s used for developing and evaluating deep learning models.

๐ก **TensorFlow** is an open-source library for machine learning. One of its main tasks is inference and training of neural networks.

**How can I learn Keras?**

There are plenty of avenues to learn Keras. But we think the most effective are courses and books.

**And today we’re showing you the best courses and books to learn Keras.**

*This post contains affiliate links. I may receive compensation if you buy something. Read my disclosure for more details.*

**TLDR: Best Ways to Learn Keras****๐ฅ Best Course ๐ฅ****A Beginner’s Guide to Deep Learning: Educative.io**

๐ฅ **Best Book** ๐ฅ**Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow**

**Learn Keras: Courses**

**1. A Beginner’s Guide to Deep Learning: Educative.io**

*Is Educative worth it? Read our review to find out why this platform gives us hearts for eyes. *๐

A **Beginner’s Guide to Deep Learning** is for students who have experience with Python. Learning deep learning fundamentals, you’ll learn to code both simple and complex deep learning models in Keras and NumPy. By the end of the course, you should be proficient in deep learning basics.

๐ก **NumPy** is a Python library used for scientific computing. It supports multi-dimensional arrays and matrices as well as high-level math functions.

**Educative.io** has an interactive learning environment where you’ll do all work within the same browser. There’s no downloading anything, so you can get to learning Keras *right away*.

**๐ฅ Geena’s Hot Take**

This course is $69 per year. But for $199 per year you’ll get access to **ALL **of **Educative.io’s** courses on deep learning, machine learning and data science.

This is a no-brainer if you’re serious about getting into the field. **Invest in yourself!** ๐ค

**๐ฐ Cost:** $69 per year for the course // $59 per month or $199 per year ($16.66/mo) for all courses and Learning Paths

โฒ๏ธ **Duration:** 20 hours

๐ **Level:** Beginner

๐ฅ๏ธ **Format:** Interactive learning

๐๏ธ **Certificate:** Yes

**2.** **Deep Learning Tutorial For Beginners: Image Classification with Keras: BitDegree**

โ *Want to know what we think of BitDegree? Read our full BitDegree review.*

**Deep Learning Tutorial for Beginners** is a bootcamp-style introduction to Keras, Python and PyCharm. In addition to understanding machine learning neural networks, you’ll:

- format datasets
- build the image classifier model
- save and load trained models

And much more.

๐ก **PyCharm** is an integrated developer environment (IDE) for Python programming.

This **BitDegree** course is video-based. You’ll do all work on your local machine. If you like Udemy-style courses where you Netflix and chill, this course is for you.

**Fun fact! BitDegree** is the first blockchain-powered education platform. This means you can earn tokens (BDG) and use them for more courses or convert them into Ethereum.

**๐ฐ Cost:** $48.32

โฒ๏ธ **Duration:** 8.75 hours

๐ **Level:** Beginner

๐ฅ๏ธ **Format:** Video

๐๏ธ **Certificate:** Yes

**3.** **Introduction to Deep Learning with Keras: DataCamp**

*Is DataCamp worth it? Read our DataCamp review to find out what we love about this platform. *๐

If you’re pursuing machine learning as a career, then **DataCamp **is a **must**.** Introduction to Deep Learning with Keras** teaches concepts like regression, classification and neural networks. It uses real-world exercises such as:

- predicting asteroid trajectories
- distinguishing between real and fake money
- reconstructing noisy images

And beyond.

**DataCamp **uses both an interactive learning environment like **Educative.io **and videos like **BitDegree**. It’s this magical blend that creates a stimulating learning environment on the **DataCamp** platform.

**๐ฐ Cost:** $25 per month for all courses and Learning Paths // $33.25 per month for courses, Learning Paths, projects and support

โฒ๏ธ **Duration:** 4 hours

๐ **Level:** Beginner

๐ฅ๏ธ **Format:** Interactive learning & video

๐๏ธ **Certificate:** Yes

๐ก *Ready to take your skills to the next level? Check out the course Advanced Deep Learning with Keras on DataCamp.*

**4. Introduction to Deep Learning & Neural Networks with Keras: Coursera**

*Coursera gives us mixed feelings. But there are some good courses (like this one). *๐ง

**Introduction to Deep Learning & Neural Networks with Keras** starts with the basics of neural networks and deep learning. As you progress, you’ll demonstrate your knowledge of supervised and unsupervised deep learning models. Finally using the Keras library, you’ll learn how to build deep learning networks and models.

Like **BitDegree**, **Coursera** is a video-based learning platform where you’ll do all work outside the browser on your local machine. But **Coursera** has a much more hands-on approach where you’ll work in-depth with the course material.

**๐ฐ Cost:** $49 per month

โฒ๏ธ **Duration:** 8 hours

๐ **Level:** Intermediate

๐ฅ๏ธ **Format:** Video

๐๏ธ **Certificate:** Yes

**Learn Keras: Books**

**5. ****Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow**

**โ๏ธ Author:** Aurelien Geron**โ๏ธ** **Publisher:** O’Reilly**โ๏ธ** **Ideal for:** programmers with no prior machine learning experience

โ๏ธ **Topics covered:** Keras, TensorFlow, scikit-learn

In this exercise-heavy book, you’ll start by learning the basics of deep learning like linear regression. Then you’ll graduate to deep neural networks. After that, you’ll explore training models such as support vector machines and random forests. Finally, you’ll discover how to use Keras, TensorFlow and scikit-learn to build intelligent systems.

**6.** **Deep Learning with Python**

**โ๏ธ Author:** Franรงois Chollet**โ๏ธ** **Publisher:** Manning**โ๏ธ** **Ideal for: **Python programmers

โ๏ธ**Topics covered:** Python, Keras

**Deep Learning with Python** was written by the creator of Keras Franรงois Chollet. Using Python programming, you’ll dive into the field of deep learning using the Keras library. With plenty of practice problems, you’ll explore natural language processing (NLP), generative models and computer vision.

๐ก **Computer vision** trains computers to obtain a high-level understanding of images or videos.

**7.** **Deep Learning with TensorFlow 2 and Keras**

**โ๏ธ Authors:** Antonio Gulli, Amita Kapoor, Sujit Pal**โ๏ธ** **Publisher:** Packt**โ๏ธ** **Ideal for:** Python developers and data scientists

โ๏ธ **Topics covered:** TensorFlow 2, Keras, building machine learning systems

**Deep Learning with TensorFlow 2 and Keras **teaches you about neural networks and deep learning techniques through the lens of TensorFlow 2 and Keras. Using this scalable machine learning stack, you’ll learn how to write deep learning applications. You’ll also discover convolutional neural networks (ConvNets), generative adversarial networks (GANS) and recurrent neural networks (RNNS).

**8. ****Deep Learning Illustrated**

**โ๏ธ Authors:** John Krohn, Grant Beyleveld, Aglae Bassens**โ๏ธ** **Publisher:** Addison-Wesley Professional**โ๏ธ** **Ideal for: **Python programmers, deep learning newbies

โ๏ธ**Topics covered:** deep learning techniques, TensorFlow & Keras, PyTorch, Coach

Using illustrations and analogies, **Deep Learning Illustrated **starts by explaining what deep learning is. Then you’ll learn a series of deep learning techniques using limited math and ample Python programming. Finally, you’ll work with popular machine learning libraries such as TensorFlow and Keras, PyTorch and Coach.

๐ก **Coach** is a Python library used alongside TensorFlow that collects statistics from the training process. It allows testing in robotics, games and more.

**Learn Keras: Conclusion**

**Today we looked at the best ways to learn Keras including:**

**๐ฅ Best Course ๐ฅ****A Beginner’s Guide to Deep Learning: Educative.io**

๐ฅ **Best Book** ๐ฅ**Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow**

**So whether you prefer courses or books, we think they’re both great ways to learn Keras.**

**Data scientists are also reading:**

- 11 Best TensorFlow Books This Year[Learn TensorFlow ASAP]
- 10 Best Deep Learning Books [Learn Deep Learning ASAP]
- 10 Best Machine Learning Books for Beginners [Learn Machine Learning ASAP]
- 8 Best Deep Learning Courses This Year [Learn Deep Learning ASAP]
- 11 Best Python Machine Learning Books [Learn Machine Learning ASAP]