What is Deep Learning?
Deep learning is an artificial intelligence function that copies the working of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in AI that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural.
Key Facts:-
- Deep learning copies the workings of the human brain in processing data for use in detecting
objects, recognizing speech, translating languages, and making decisions.
- It is able to learn
without human supervisions, drawing from data that is both unstructured and
unlabeled.
- Deep learning, a form of machine learning can be used to help detect fraud or money laundering, among the functions.
“The analogy to deep learning is that the rocket engine is the deep learning models and the fuel is the huge amounts of data we can feed off these algorithms”
What is Machine Learning?
Machine learning is an application of artificial intelligence. It provides systems the ability to automatically learn and improve from experience without being explicitly programmed. It focuses on the development of computer programs that can access data. Machine learning enables the analysis of massive quantities of data.
Machine learning involves a lot of complex mathematics and coding. It serves a mechanical function the same way a flashlight,
a car, or a computer screen does. When we say something is capable of “machine
learning”, it means it’s something that performs
a function with the data given to it and gets progressively better over time.
It’s like if you had a flashlight that turned on whenever you said: “it’s
dark”, so it would recognize different phrases containing the word “dark”.
An easy example of a machine learning algorithm is an
on-demand music streaming service. For the service to make the decision about
which new songs or artists recommend to a listener, machine learning algorithms
associate the listener’s preferences with other listeners who have a similar
musical taste.
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Deep Learning vs Machine learning:-
|
Machine Learning (ML) |
Deep Learning (DL) |
|
Machine learning uses algorithms to
parse data, learn from that data, and make informed decisions based on what
it has learned. |
Deep learning structures algorithms
in layers to create an “artificial neural network” that can learn and make
intelligent decisions on its own. |
|
Can train on lesser training data. |
Deep learning trains large data sets for training. |
|
Machine learning takes less time to train. |
Deep learning a long time to train. |
|
It trains on the CPU. |
It trains on GPU for proper training. |
|
The output is in numerical form for
classification and scoring applications. |
The output can be in any form
including free form elements such as free text and sound. |
|
Limited tuning capability for
hyperparameter tuning. |
Deep learning can be tuned in various ways. |
What's there in the future?
The possibilities for machine learning in the future
are nearly endless. The healthcare industry also will likely change, as deep learning helps
doctors do things like to predict or detect cancer earlier, which can save
lives.
Conclusion:-
So hopefully this article has given you all the basics
regarding machine learning versus deep learning, and a glimpse at machine
learning and deep learning of future trends.
Blog contributed by– Nivedita Shivhare
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