Lesson 16 of 16By Simplilearn
Last updated on Mar 12, 20211857Deep learning is a branch of artificial intelligence concerned with solving highly complex problems by emulating the working of the human brain. In deep learning, we use neural networks which use multiple operators placed in nodes to help break down the problem into smaller parts, which are each solved individually. But neural networks can be really hard to implement. This problem is taken care of by Keras, a deep learning framework.
In this article titled ‘What is Keras? The best introductory guide to Keras’, we will introduce you to Keras and explain why it has gained popularity with developers. The topics covered in this article are :
Keras is a high-level, deep learning API developed by Google for implementing neural networks. It is written in Python and is used to make the implementation of neural networks easy. It also supports multiple backend neural network computation.
Keras is relatively easy to learn and work with because it provides a python frontend with a high level of abstraction while having the option of multiple back-ends for computation purposes. This makes Keras slower than other deep learning frameworks, but extremely beginner-friendly.
Keras allows you to switch between different back ends. The frameworks supported by Keras are:
Out of these five frameworks, TensorFlow has adopted Keras as its official high-level API. Keras is embedded in TensorFlow and can be used to perform deep learning fast as it provides inbuilt modules for all neural network computations. At the same time, computation involving tensors, computation graphs, sessions, etc can be custom made using the Tensorflow Core API, which gives you total flexibility and control over your application and lets you implement your ideas in a relatively short time.
Figure 2: Keras Backend
Apart from this, Keras has features such as :
The below diagram shows the basic steps involved in building a model in Keras:
Figure 3: Building a model
Build deep learning models in TensorFlow and learn the TensorFlow open-source framework with the Deep Learning Course (with Keras &TensorFlow). Enroll now!
In this article titled ‘What is Keras? The best introductory guide to Keras’, we first answered the question, ‘What is Keras?’. We then looked at why Keras is so popular and why you should use Keras followed by the basic steps involved in making a model in Keras. We then saw a few uses of Keras.
We hope this article answered the question which was burning in the back of your mind: What is Keras? Do you have any doubts or questions for us? Mention them in this article's comments section, and we'll have our experts answer them for you at the earliest!
Name | Date | Place | |
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Deep Learning with Keras and TensorFlow | 19 Jun -11 Jul 2021, Weekend batch | Your City | View Details |
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