Below you will find example sentences with "deep learning". The examples show how this phrase is used in natural context and which words often surround it.

Deep Learning in a sentence

Corpus data

  • Displayed example sentences: 20
  • Discovered as a combination around: deep
  • Corpus frequency in the collocation scan: 9
  • Phrase length: 2 words
  • Average sentence length: 24.8 words

Words in this phrase

deep learning

Meanings of words in this phrase

  • deep can mean: Extending, reaching or positioned far from a point of reference, especially downwards. Frequent word
  • learning can mean: An act in which something is learned. Frequent word

Sentence profile

  • Phrase position: 9 start, 11 middle, 0 end
  • Sentence types: 19 statements, 1 questions, 0 exclamations

Usage patterns

These patterns show short text windows around the phrase in the example sentences:

a new deep learning service capability 1× algorithms behind deep learning have many 1× and accompanying deep learning framework were 1× and leverages deep learning to train 1× benefits of deep learning machine learning 1× deep learning a subcategory 1× differences between deep learning and other 1× fields including deep learning and machine 1×

Sentence openings and endings

Common sentence openings:

a similar pattern 1× adobe now runs 1× after mastering hands 1× another kind of 1× deep learning a 1× deep neural networks 1×

Common sentence endings:

and ai technology 1× and experience cloud 1× as startup efforts 1× being particularly popular 1× big data analysis 1× complex use cases 1×

Context words

These words often appear near this phrase in the example sentences:

machine 17× neural 5× algorithms 5× data 4× networks 4× processing 3× cloud 3× new 2× train 2× common 2× models 2× sets 2×

Related phrases

machine learning remote learning distance learning deep sleep deep space deep water learning difficulties deep roots

Phrases around this combination

Other phrases discovered around deep:

deep space 12× deep water 8×

Just before it in the phrase index:

dedication ceremony declared dead decision makers decent income decent amount december shortly

Just after it in the phrase index:

deep roots deep sleep deep space deep water deeper understanding deeply concerned

Other phrases with the same pattern

Same start:

deep sleep deep space deep water deep roots

Same ending:

machine learning remote learning distance learning

Corpus analysis

  • The phrase "deep learning" has 2 words and usually appears in the middle in these examples. The average sentence has 24.8 words and is mostly made up of statements.
  • Around this phrase, patterns and context words such as a new deep learning service capability, algorithms behind deep learning have many, machine, neural and algorithms stand out.
  • In the phrase index, this combination connects with machine learning, remote learning, distance learning, deep space and deep water, linking the page to nearby combinations.

Example types with deep learning

This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:

Short example sentences

This tech uses deep learning and machine learning to increase its collection of questions and responses. (16 words)

Machine learning forms the core of modern AI systems, with deep learning algorithms being particularly popular. (16 words)

But that is one of the huge benefits of deep learning, machine learning and AI technology. (16 words)

Longer example sentences

IBM also added support for a new deep learning service capability to monitor workloads called Watson Machine Learning Accelerator and a new feature called Federated Learning that enables users to train common models using remote, secure data sets. (38 words)

Deep neural networks, the algorithms behind deep learning, have many of the same applications as most of the traditional machine learning algorithms, but can scale to much more sophisticated and complex use cases. (33 words)

Tesla’s electric vehicles and accompanying charging system, Uber’s two-sided driver/passenger marketplace, and Nervana’s deep learning accelerators and accompanying deep learning framework, were better suited as startup efforts. (32 words)

Question examples

What are the machine learning and deep learning applications used to identify patterns in consumer data? (16 words)

Example sentences (20)

IBM also added support for a new deep learning service capability to monitor workloads called Watson Machine Learning Accelerator and a new feature called Federated Learning that enables users to train common models using remote, secure data sets.

Deep learning, a subcategory of machine learning, has been omitted intentionally to keep the focus of this article on machine learning in general.

The microscope is called deep learning extended depth-of-field microscope or DeepDOF and leverages deep learning to train a computer algorithm to optimize image collection and image post-processing.

In addition to pure deep neural networks (DNNs), sometimes people use hybrid vision models, which combine deep learning with classical machine learning algorithms that perform specific sub-tasks.

Tesla’s electric vehicles and accompanying charging system, Uber’s two-sided driver/passenger marketplace, and Nervana’s deep learning accelerators and accompanying deep learning framework, were better suited as startup efforts.

Deep neural networks, the algorithms behind deep learning, have many of the same applications as most of the traditional machine learning algorithms, but can scale to much more sophisticated and complex use cases.

This tech uses deep learning and machine learning to increase its collection of questions and responses.

One of the biggest differences between deep learning and other forms of machine learning is the level of “supervision” that a machine is provided.

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With the rapid advancements in AI, robotics, and other fields including deep learning and machine learning and entrepreneurship, having that flexibility is advantageous in today’s time.

Adobe now runs a common platform of AI, machine learning and deep learning across its product offerings in its Creative Cloud, Document Cloud and Experience Cloud.

A similar pattern has started to occur in AI, with the analogous emphasis on machine learning, neural networks, and deep learning, often in the context of vision and natural language processing.

Geometric Deep Learning is apparently good at handling vast data sets that cause normal machine learning algorithms to have a fit.

Machine learning forms the core of modern AI systems, with deep learning algorithms being particularly popular.

But that is one of the huge benefits of deep learning, machine learning and AI technology.

Machine learning and deep learning engineers are earning, even when they’re working at non-profits, which speaks to how hot the field is.

Neural networks power deep learning, the most widely used type of machine learning that’s driving today’s AI boom.

What are the machine learning and deep learning applications used to identify patterns in consumer data?

Another kind of deep learning algorithm—not a deep neural network—is the Random Forest, or Random Decision Forest.

After mastering hands-on skills, students will be ready to take on advanced topics in AI, such as deep learning, natural language processing, and big data analysis.

All the while, we are starting to demonstrate the power of deep learning and differentiable programming in the full optimization of the complex experiments we want to build.

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