Machine Learning

  Q1. Weights impact For the neural network shown above, which of these statements is true? Choose the correct answer from below: A.      -5 weight is bad for the neural network. B.      The neuron with weight 10 will have the most impact on the output. C.       The neuron with weight -5 will have the most impact on the output. D.      The neuron with weight 2 will have the most impact on the output. Ans: B Correct option :  The neuron with weight 10 will have the most impact on the output. Explanation : There is no such thing that a neuron with a negative weight will be bad for the output. The negative or positive weight of a neuron simply means whether it has an increasing or decreasing effect on the output value. A neuron with the largest magnitude will have the most significant effect on the output value. Q2. Calculate Forward Pass The neuron n has the weights 1,2,3,4, and 5. The values of inputs are 4,10,5,20, and 0. We are using a linear activation functi

  What is Machine Learning •         “ Machine Learning •         enables a Machine to Automatically learn from Data , •         improve performance from an Experience and •         predict things without explicitly programmed .” •         In Simple Words, when we fed the Training Data to Machine Learning Algorithm, ü   this algorithm will produce a mathematical model and ü   with the help of the mathematical model , ü   the machine will make a prediction and ü   take a decision without being explicitly programmed. ·        Also, during training data , o    the more machine will work with it o    the more it will get experience and o    the more efficient result is produced . Example:   In Driverless Car , the training data is fed to an Algorithm like   ü   how to Drive a Car on Highway, Busy and Narrow Street with factors like ·        speed limit, ·        parking, ·        stop at signals etc. After that, a Logical and Mathematical model is creat