What is Deep Learning?

Deep Learning

With representation learning, Deep learning must be a major part of machine learning methods supported by artificial neural networks.
It’s a category of machine learning algorithms and a sub-set of machine learning.
Deep learning models are supported by artificial neural networks (ANN).
Artificial Neural Networks (ANN) are computing systems. It’s supported a set of connected nodes called artificial neurons.
Artificial neurons are elementary units in a man-made Neural Network (ANN).
An artificial neuron receives one or more inputs and sums them to supply output. The sum is a skilled transfer function that takes the shape of other non-linear functions.
“Deep” word in “deep learning” refers to the number of layers through which the info is transformed. Different layers may perform different sorts of transformations on their inputs.
Signals move from the primary (input) to the last (output) layer.

Deep Neural Networks

It’s a man-made neural network (ANN) with multiple layers between the input and output layers. In a deep neural network, each mathematical manipulation intrinsically is taken into account a layer. The complex deep neural network (DNN) has many layers which may model complex non-linear relationships.
Data moves from the input layer to the output layer without looping back in deep neural networks.

We may divide deep learning into three phases.

  1. Design Deep Layer Architecture (Neural Networks)
  2. Setting all Hyper-parameters (Loss function, optimizer, etc) 
  3. Plow ahead and test run (Testing data on Unseen data to urge accuracy)

Application of Deep Learning

Speech recognition

Speech recognition is that the most successful case of deep learning.
Smart speakers are the simplest example of the application of deep learning.

Image recognition

Image recognition has been producing more perfect results than human contestants. A great example of the application of deep learning in image recognition is deep learning-trained vehicles now interpret 360⁰ camera views.

Natural Language Processing

Google Translate supports over 100 languages. It had been an out-sized end-to-end long STM network.

Direct Marketing

Customer relationship management is often performed by deep reinforcement learning.

Drug Discovery

The use of deep learning has been taken to predict the biomolecular targets and toxic effects of environmental chemicals in nutrients, household products, and medicines.

Image restoration

The Film colorization, in painting, supper resolution, and de-noising problems are being handled by using deep learning.

Anti concealment

Deep learning is being applied for anti concealment and financial fraud detection.