{"id":77626,"date":"2020-04-22T10:00:00","date_gmt":"2020-04-22T04:30:00","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=77626"},"modified":"2021-08-25T13:55:22","modified_gmt":"2021-08-25T08:25:22","slug":"python-keras-advantages-and-limitations","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/","title":{"rendered":"Python Keras Advantages and Limitations"},"content":{"rendered":"

Keras is very useful for beginners starting with neural networks. It is a high-level framework that hides the backend computation and allows us to quickly build a neural network model. In this article, we will be learning the some of the advantages of keras and keras limitations.<\/strong><\/p>\n

\"advantages<\/a><\/p>\n

Advantages of Keras<\/h2>\n

1. User-Friendly and Fast Deployment<\/h3>\n

Keras is a user-friendly API and it is very easy to create neural network models with Keras. It is good for implementing deep learning algorithms and natural language processing. We can build a neural network model in just a few lines of code.<\/p>\n

Let\u2019s see an example:<\/p>\n

from keras.models import Sequential\r\nfrom keras.layers import Dense, Activation\r\n\r\nmodel= Sequential()\r\nmodel.add(Dense(64, activation=\u2019relu\u2019,input_dim=50))\r\nmodel.add(Dense(28, activation=\u2019relu\u2019))\r\nmodel.add(Dense(10,activation=\u2019softmax\u2019))<\/pre>\n
You can see, it is easy to understand the process and the flow. The functions and the parameters are very simple and therefore writing the code is simple. There is a\u00a0good collection of keras functions to do data processing. Keras provides multiple layers including the support for Convolution and Recurrent Layers.<\/p>\n
2. Quality Documentation and Large Community Support<\/h3>\n
Keras has one of the best documentations ever. Documentation introduces you to each function in a very organized and sequential way. The codes and the examples given are very useful to understand the behavior of the method.<\/p>\n
Keras also has great community support. There are lots of community codes on various open-source platforms. Many developers and Data Science enthusiasts prefer Keras for competing in Data Science challenges. So, we have a constant stream of insightful competition codes in Keras.Many of the researchers publish their codes and tutorials to the general public.<\/p>\n
3. Multiple Backend and Modularity<\/h3>\n
Keras provides multiple backend support, where Tensorflow, Theano<\/a> and CNTK being the most common backends. We can choose any of these backends according to the needs for different projects.<\/p>\n
We can also train the Keras model on one backend and test its results on other. It is very easy to change a backend in Keras, you just have to write the name of the backend in the configuration file.<\/p>\n
4. Pretrained models<\/h3>\n
Keras provides some deep learning models with their pre-trained weights. We can use these models directly for making predictions or feature extraction.<\/p>\n
These models have built-in weights, these weights are the results of training the model on ImageNet dataset.<\/strong><\/p>\n
Some of the available models are:<\/p>\n
    \n
  • Xception<\/li>\n
  • VGG16<\/li>\n
  • VGG19<\/li>\n
  • ResNet, ResNetV2<\/li>\n
  • InceptionV3<\/li>\n
  • InceptionResNetV2<\/li>\n
  • MobileNet<\/li>\n
  • MobileNetV2<\/li>\n
  • DenseNet<\/li>\n
  • NASNet<\/li>\n<\/ul>\n
    5. Multiple GPU Support<\/h3>\n
    Keras allows us to train our model on a single GPU or use multiple GPUs. It provides built-in support for data parallelism. It can process a very large amount of data.<\/p>\n
    Limitations of Keras<\/h2>\n
    Now let us see some of the Cons of keras:<\/p>\n
    1. Problems in low-level API<\/h3>\n
    Sometimes you get low-level backend errors continuously and it becomes very irritating.\u00a0 These errors occur because we may want to perform some operations that Keras was not designed for.<\/p>\n
    It does not allow to modify much about its backend. Error logs are difficult to debug.<\/p>\n
    2. Need improvement in some features<\/h3>\n
    Keras data-preprocessing tools are not that much satisfying when we compare it with other packages like scikit-learn.\u00a0It is not so good to build some basic machine learning algorithms like clustering and PCM (principal component analysis). It does not have features of dynamic chart creation.<\/p>\n
    3. Slower than its backend<\/h3>\n
    Sometimes it is slow on GPU and takes longer time in computation compared with its backends. So\u00a0we may have to sacrifice speed for its user-friendliness.<\/p>\n
    Summary<\/h2>\n
    This article is a guideline to the advantages and disadvantages of working with Keras. This will give you clear picture when to use keras due to advantages of keras and when not to use it due to its limitations.<\/p>\n
    Hope you enjoyed the article. Do share your feedback in the comment section.<\/strong>
    Keras is very useful for beginners starting with neural networks. It is a high-level framework that hides the backend computation and allows us to quickly build a neural network model. In this article, we...<\/p>\n","protected":false},"author":10,"featured_media":77627,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22185],"tags":[22198,22202,22197,22199,22201,22200],"class_list":["post-77626","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-keras","tag-advantages-of-keras","tag-disadvantages-of-keras","tag-keras-advantages","tag-keras-limitations","tag-limitations-of-keras","tag-pros-and-cons-of-keras"],"yoast_head":"\nPython Keras Advantages and Limitations - DataFlair<\/title>\n<meta name=\"description\" content=\"Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Keras Advantages and Limitations - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2020-04-22T04:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-08-25T08:25:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"802\" \/>\n\t<meta property=\"og:image:height\" content=\"420\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python Keras Advantages and Limitations - DataFlair","description":"Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/","og_locale":"en_US","og_type":"article","og_title":"Python Keras Advantages and Limitations - DataFlair","og_description":"Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.","og_url":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2020-04-22T04:30:00+00:00","article_modified_time":"2021-08-25T08:25:22+00:00","og_image":[{"width":802,"height":420,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/a90b082e16aa38d207212d22b0581f33"},"headline":"Python Keras Advantages and Limitations","datePublished":"2020-04-22T04:30:00+00:00","dateModified":"2021-08-25T08:25:22+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/"},"wordCount":617,"commentCount":2,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#primaryimage"},"thumbnailUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg","keywords":["advantages of keras","disadvantages of keras","keras advantages","keras limitations","limitations of keras","pros and cons of keras"],"articleSection":["Keras Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/","url":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/","name":"Python Keras Advantages and Limitations - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"primaryImageOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#primaryimage"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#primaryimage"},"thumbnailUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg","datePublished":"2020-04-22T04:30:00+00:00","dateModified":"2021-08-25T08:25:22+00:00","description":"Learn Advantages of keras that make it worth learning and useful in different applications. Also learn disadvantages of keras before using it.","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#primaryimage","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/04\/pros-cons-of-keras.jpg","width":802,"height":420,"caption":"advantages of keras and limitations of keras"},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/python-keras-advantages-and-limitations\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"Keras Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/keras\/"},{"@type":"ListItem","position":3,"name":"Python Keras Advantages and Limitations"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. Lead Tomorrow.","publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/data-flair.training\/blogs\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/data-flair.training\/blogs\/#organization","name":"DataFlair","url":"https:\/\/data-flair.training\/blogs\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","width":106,"height":48,"caption":"DataFlair"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataFlairWS\/","https:\/\/x.com\/DataFlairWS","https:\/\/www.linkedin.com\/company\/dataflair-web-services-pvt-ltd\/","https:\/\/www.youtube.com\/user\/DataFlairWS"]},{"@type":"Person","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/a90b082e16aa38d207212d22b0581f33","name":"DataFlair Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/dd6de0d647a0185cd6faf264e4ba860b0d85d08d7070766f9cd41bea5bb0b227?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/dd6de0d647a0185cd6faf264e4ba860b0d85d08d7070766f9cd41bea5bb0b227?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/dd6de0d647a0185cd6faf264e4ba860b0d85d08d7070766f9cd41bea5bb0b227?s=96&d=mm&r=g","caption":"DataFlair Team"},"description":"The DataFlair Team is passionate about delivering top-notch tutorials and resources on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. With expertise in the tech industry, we simplify complex topics to help learners excel. Stay updated with our latest insights.","url":"https:\/\/data-flair.training\/blogs\/author\/dfadteam1\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/77626","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/comments?post=77626"}],"version-history":[{"count":2,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/77626\/revisions"}],"predecessor-version":[{"id":77651,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/77626\/revisions\/77651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media\/77627"}],"wp:attachment":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media?parent=77626"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/categories?post=77626"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/tags?post=77626"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}