Ever wondered how Google translates a complete webpage to
Different language in a matter of seconds or your phone gallery groups images grounded on their position all this is a product of deep literacy but
What exactly is deep literacy deep literacy is a,
Subset of machine literacy which in turn is a subset of artificial intelligence,
AI be a technique that allows a machine to mimic human
Behavior machine learning is a technique
To achieve AI through algorithms trained with data and finally deep learning is a
Type of machine literacy inspired by the structure of the mortal brain in
Terms of deep learning this structure is called an artificial neural network
Let's understand deep learning better and how
It's different from machine learning say
We produce a machine that could separate between tomatoes and cherries
If done using machine learning we'd have to tell the Machine the features based on which
The two can be discerned these features could be
The size and the type of stem on them with Deep Learning on the other hand the
Features are picked out by the neural network without mortal
intervention of course
That kind of independence comes at the cost of having a important higher volume of data to train our machine now
Let's dive into the working of neural networks here
We've three scholars each of them write down the number nine on a piece of paper specially
They do not all write it identically the mortal brain can fluently recognize
The digits but what
If a computer had to fete them that's
Where deep learning comes in here's a neural network
Trained to identify handwritten integers each number is present as an image of 28 times 28 pixels now
That amounts to a aggregate of 784 pixels neurons
The core reality of a neural network is where the information
Processing takes place each of the 784pixels is fed to a neuron in
The first subcaste of our neural network this forms
The input layer on the opposite end we've
The affair subcaste with each neuron representing a number with the retired layers being between them
The information is trans from one layer to a different over connecting channels
Each of those contains a value attached to that and hence is named a weighted Channel all neurons have a
Unique number associated with it called bias this bias is added to the weighted sum of inputs reaching the neuron which is
Then applied to a function known as the activation function the result of,
The activation function determines if,
The neuron gets activated every activated neuron passes on information to,
The following layers this continues up till
The alternate last subcaste the one neuron actuated in the affair subcaste corresponds to the input number,
The weights and bias are continuously set to produce,
A well-trained network so where is deep learning applied in customer support,
When utmost people converse with client support agents the discussion seems so real they do not indeed realize,
That it's actually a bot on the other side in medical care neural networks detect cancer cells and analyze MRI images to give detailed results
Own- driving buses what feel like wisdom fabrication is now a,
Reality Apple Tesla and Nissan are only some of the businesses performing on self-driving cars so deep learning contains a vast scope,
But it too faces some limitations.
The first as we discussed earlier is data while deep learning is,
The most efficient way to deal with unstructured data a neural network requires a massive volume of data to Train
Let's assume we always have access to the necessary amount of data processing.
This isn't within the capability of every machine and,
That brings us to our second limitation computational power training and neural network,
Requires graphical processing units which have thousands in fact as compared to CPUs and GPUs are in fact.
More precious and eventually we come down to training time deep neural networks,
Take hours or indeed months to train the time increases with the quantum of data and number of layers in the network,
So heem to have only scratched
The surface in fact horse technology is working on a device for the blind,
That uses deep learning with computer vision to describe the world to the users replicating.
The human mind at all could also be not just an episode of fantasy or too long.