Wild CSE

Process In simple words, a process is an instance of an executing application. An application is a file containing a list of instructions stored in the disk (often called an executable file), in flash memory, maybe in the cloud but it's not executing, it's a static entity. When an application is launched it is loaded into the memory and it becomes a process, so it is an active entity with a program counter specifying the next instruction to execute and a set of associated resources. If the same program is launched more than once than multiple processes will be created executing the same program but will be having a very different state. A process encapsulates all the data for running application, this includes the text , the code of the program, a data section, which contains global variables and data which are available when the process is first initialized. As text and the data are available when the process is first initialized they are called static states and a

What is an Operating System? An operating system is a layer of system software between applications and hardware that abstracts (i.e. simplify what hardware actually looks like) and arbitrates (ie. manage, overseas and control the hardware use). Functions of Operating System Hides hardware complexity: OS hides hardware complexity for applications as well as for application developers. Application developers, for example, don't need to worry about disk sectors or block when saving a file to the disk. In fact mechanism for reading/writing a file on a hard drive is different from reading/writing the file on a USB drive or SSD which is all handled by OS. Similarly, OS abstracts the network resource and provide a higher level abstraction called Socket and provide some services to send and receive packets from that socket. Resource Management: OS also manages the resources used by the application. It decides how many and which one of the above resources will be used by the a

Convolution Neural Network:  When it comes to Machine Learning, Artificial Neural Networks perform really well. Artificial Neural Networks are used in various classification task like images, audios, words, etc. Different types of Neural Networks are used for different purposes, for example for predicting the sequence of words we use Recurrent Neural Networks, more precisely a LSTM, similarly for image classification we use Convolution Neural Network. In this blog, we are going to build basic building block for CNN. Before diving into the Convolution Neural Network, let us first revisit some concepts of Basic Neural Network. In a regular Neural Network there are three types of layers: Input Layers:  It’s the layer in which we give input to our model. The number of neurons in this layer is equal to total number of features in our dataset (number of pixels incase of an image). Hidden Layer:  The input from Input layer is then fed into the hidden layer. There can be many hidden lay