Deep learning algorithms impact at computer vision and natural language processing

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Assalamualaikum steemians

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How are you? Hope so everyone would be safe and sound just like me as I am also safe Alhamdulillah...

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Today I was thinking that from a long time I am just writing about blockchains and cryptocurrencies so why not I am discussing about technology so here I am with one of the most unique topic which is deep learning algorithms on overall computer vision and natural language processing.

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Deep learning algorithms has played its great role in past in revolutionizing different fields like field of computer vision and natural language processing. Basically algorithms gain inspiration by the functioning and structure of brain of a human which have enabled different machines to learn and improve automatically by the extraction of features from data.

Computer Vision

There are different computer vision tasks which include classification of image, detection of objects segmentation and generation and all these have been improved regarding their efficiency and accuracy by deep learning algorithms.

There is one type of deep learning algorithms which we called convolutional neural networks has become successful in recognition of images.

When I talk about some of the applications and uses of deep learning in computer vision then these are I'm explaining below;

• There is state of art performance which has been achieved by deep learning algorithms so in classification of images it have its uses.

• If I talk about detection of objects then there are some of the algorithms like YOLO which means you only look once or for a single time can detect different objects in images with high level of speed.

• Deep learning algorithms are also able to segment images into pixels which can be used in return for different applications like medical imaging.

Natural Language Processing

Natural language processing has been improved regarding its accuracy and efficiency in some of the tasks like language modelling, classification of text, analysis of segment and translation of machine. If I talk about the recurrent neural networks or long and short term memory networks then these are very helpful for accomplishing natural language processing tasks.

If I talk about deep learning then it could be applied in natural language processing in different fields that I am discussing below;

• Deep learning algorithms are able in predicting the next word in a sentence by providing and understanding the context of the previous words which are present already.

• Algorithms can easily classify text into different form like spam/not spam, positive/negative sentiment depending upon the type of text which is going to be classify.

• Deep learning algorithms are able to analyze text for determining the sentiment of the writer that either writer have positive, negative, or neutral sentiment.

• Deep learning algorithms are able in translating text from one language to another language so in this way it would achieve a state of art performance at different benchmark datasets.

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That was all about my topic in which I have discussed about Deep learning algorithms and how in the field of technology they have effect at computer vision and in what fields most specifically it is providing its applications and uses and then I have discussed briefly about relationship of deep learning and national language processing and then I move forward on its applications again. Finally I end up my topic with this conclusion.

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Thanks

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