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Here are some key points about deep learning:
                 • The structure of deep learning models is inspired by the neurons and connections in the human brain.
                 • Artificial Neural Networks (ANNs), or Neural networks, are the core of machine learning.
                 • These networks consist of node layers, including an input layer, one or more hidden layers, and an output layer.
                 • If the output of any node exceeds a certain threshold, the node is activated, sending data to the next layer. Otherwise,
                 no data is passed along.
                 • When  the  network  has  more  than  three  layers,  including  the  input  and  output  layers,  it  is  called  a  Deep  Neural
                 Network (DNN).
                                                  Multiple hidden layers
                                 Input layer
                                                                            Output layer




                                                                                        Difference in
                                                                                       desired values








                                                                           Backprop output layer



                            Brainy Fact


                    In  2016,  Google’s AlphaGo  beat  Go  master  Lee  Sedol  utilising  deep  learning  neural  networks  most  closely
                    approaching human thought.





              Applications of Deep Learning
              Here are a few examples of deep learning at work:
                 • Automated Driving: Deep learning is used to spot stoplights and traffic signals and also to detect pedestrians,
                 reducing the incidence of accidents.
                 • Aerospace and Defence: Identifying objects from satellites and locate safe and unsafe zones for troops is another
                 area where deep learning is playing a major role.
                 • Medical Research: Cancer researchers use deep learning to automatically detect cancer cells.
                 • Industrial Automation: Deep learning helps detect when people or objects are within an unsafe distance from the
                 heavy machines thereby ensuring their safety.


                      Machine Learning


              Machine learning refers to the field of artificial intelligence where computers are trained to learn from data and make
              decisions  or  predictions.  It  encompasses  supervised  learning  (using  labelled  data),  unsupervised  learning  (finding
              patterns in unlabelled data), and reinforcement learning (learning through trial and error).
              Machine learning is widely applied in areas such as image recognition, natural language processing, and autonomous
              vehicles to automate tasks and enhance decision-making processes.




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