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Deep Learning

                 Deep learning allows a machine to independently mimic human
                 thought patterns. It is a subset of machine learning.



                 Training and Testing Data

                 Training and testing data are crucial components in machine learning. The training data is used
                 to teach the model by allowing it to learn patterns, relationships, and behaviors from the input
                 data. Once the model has been trained, the testing data, which is kept separate from the training
                 set, is used to evaluate the model’s performance and its ability to generalize to unseen data.

                 Training Data

                 Training data is a collection of labelled information that is used to build a machine learning
                 model. It can be annotated text, images, videos or audios. Through training data, an AI model
                 learns to perform its task with high level of accuracy.

                 Test Data
                 The data that is given to an AI machine to test the machine is called test data. Based on the
                 training data the AI-enabled machine predicts the output from the test data.

                                   Training Data

                                                                         Prediction
                                                                                                 Video


                                            TXT
                                       TXT                                                 TXT    Text
                                                       Model Training

                                     Lables                                    TXT

                                                                         Test Data
                                Video TXT  Audio
                                      Text




                                                         Pattern Recognition


                                                         Pattern recognition is a data analysis method that uses
                                                         machine learning algorithms to automatically recognise
                                                         patterns and regularities in data. This data can be anything
                                                         from  text  and  images  to  sounds  or  other  definable
                                                         qualities. Pattern  recognition  systems  can recognise
                                                         familiar patterns quickly and accurately.






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