Neural Network with Deep Learning

1

• Session 1

2

• Machine learning is a hot topic of discussion
  nowadays. And you can find its multitude of uses
  across the different segments. Deep learning is
  an integral part of machine learning. When we
  talk about machine learning or deep learning, it
  has created quite a stir in the market.
  Basically, these technologies work on algorithms
  and programming that enables the machine to think
  like a human and take a decision. So what works
  behind them, you will learn about all this aspect
  in any of the machine learning training programs.
  Still, here, we are going to cover one of the
  elements that ensure the seamless working of deep
  learning enables technology. Yes, we are going to
  talk about neural networks.

3

• We all know that machines have brains, but in
  recent years, we have seen some significant
  development in this domain, and this is because
  of the surge of new technologies like machine
  learning and deep learning. What works behind the
  scene is the neural network. These are designed
  similar to the neurons of the human brain. These
  neural networks work on the detangling complex
  relationship and unfold it to the machines so
  that they can perform their task.

4
Subsets Of Machine Learning

• If you have undergone machine learning training
  or are planning to go for a machine learning
  course, then you would get to know that there are
  subsets of machine learning and each of these
  subsets have the potential to form a new career
  for those who are willing to grow in the field of
  artificial intelligence. The following are the
  subsets of machine learning
• Neural network- As we have mentioned above,
  neural network functioning is designed similar to
  the human brain, with the help of this network
  software learns to recognize images and enables
  the machine to make a decision. With the help of
  a neural network, machines can also make
  predictions and decisions and that too with
  accuracy. But it also depends on the accuracy of
  the data.

5

• 2. Natural Language Processing (NLP)- It enables
  the machine to understand human language and
  interpret. As it continues to develop, machines
  will also learn how to respond in a similar way
  to humans.
• 3. Deep Learning- It uses machine learning tools
  and uses the same to solve problems and make
  decisions. With deep learning, the data is
  processed via neural networks and thus making the
  machine to work similarly as the human does. This
  applies to text, images, speech to come to a
  conclusion. In simple words, its objective is to
  make a decision similar to human beings.

6
What Sets The Neural Network Apart From Other
Networks?

• Well, neural networks are designed to perform on
  the same base as the neurons in the human brain.
  The functioning of a brain neuron involves
  receiving input and then instigates an output
  that is used by another neuron. The neural
  network security training also works on a similar
  pattern they stimulate behaviour in learning
  about the data which is collected and then
  predicting outcomes.
• There are three layers of neurons in the neural
  network
• Input layer
• Hidden layer
• Output layer

7

• When we talk about deep neural networks, then it
  has many layers and the process of using all
  these layers is called deep learning.
• Deep neural networks are complex neural networks,
  and they have around 1000 or more neurons per
  layer. The more is the number of networks, the
  more complex tasks it can handle. But, this
  might take some time for the same. In the case of
  the classic neural network, the information
  traverses in a single direction where each layer
  is wholly connected to neighbours.

8
How Can Neural Network Create An Impact On Our
Life?

• Well, in the years to come, we are going to
  witness a significant impact on technology. And
  ML is going to be an integral part of the same.
  Machine learning algorithms are going to be a key
  game-changer. Here is how it is going to change
  our lives in the years ahead
• Language barrier elimination via interpreting
  tools for personal use
• Image processing and photo effects
• Video analytics
• Using a photo to find a person on the internet
• IoT concept development via voice interaction
  interfaces
• Self-learning system for production and device
  management
• Object recognition and classification of images

9
Conclusion

• These are few of the many ways how machine
  learning and its subsets, neural network, NLP and
  deep learning are going to impact our lives. This
  will inevitably lead to a growing demand for
  individuals who are skilled in machine learning.
  This field is not only going to be a great career
  booster but also will lead to a lot of
  development. Global Tech Council is providing an
  online machine learning training program. This
  program aims at imparting all the information
  about machine learning and its allied concepts.
  You can simply enrol for this program and let
  your career grow by leaps and bounds.

10
(No Transcript)