Step by Step procedure in Conducting the Hypothesis Testing: prerequisites: Part 1: What is Hypothesis Testing and When it is Used? Part 2: How to decide Null and Alternate Hypothesis? https://www.isixsigma.com/ Before diving into the steps, first let’s understand the Important Terminology we need to understand: Null Hypothesis: It is a well-established fact which is believed by all the people. It can also defined as an Assumption that treats everything equally and similarly. Alternate Hypothesis: It is a new claim made against the Null Hypothesis. If we have enough evidence against the Null Hypothesis we will reject Null Hypothesis. P-value: Probability of Null Hypothesis being true. Significance level: probability of rejecting the Null Hypothesis when it is true. It is a critical point where we decide whether the Null Hypothesis is rejected or not. Generally, the significant level will be 0.05 which means a 5 percent risk while concluding
RESNET Architecture: Prerequisites: VGGNet OR VGG16 : VGG16 Architecture DEVELOPED BY MICROSOFT ON 2015 PROBLEM OBSERVED: Regular Neural Networks has a problem that as number of layers increase, even after many epochs the train error and test error of 56 layered Neural Network is worse than the 20 layered Neural Network. source:https://arxiv.org/pdf/1512.03385.pdf Inorder to solve the above problem, The Microsoft team has come up with an idea known as residual unit or identity unit which have skip connection. source:https://arxiv.org/pdf/1512.03385.pdf Basic unit of ResNet Architecture. The above unit is known as either Residual unit or Identity unit. Here the key point is during regularization, if we have unimportant layers then we can avoid them with skip connection. so that there will be no impact on our network. If we observe the above figure, we have two layers, If those both layers are useless then during regularization the weight