100 DAYS OF DEEP LEARNING

  I uncover the maths behind McCulloch-Pitts Neuron and how it works with Logical functions. By Placement Talk786   Jun 07,2021 In the  previous article , we went through the theoretical understanding of a blog post. In this blog post, we will understand McCulloch Pitts Neuron and the maths behind it. The paper related to this was published in 1943 and has been an important building block of the Neural Network. McCulloch Pitts Neuron (M-P Neuron) One of the very first traces about  Neuron  comes from  McCulloch Pitts Neural Network - 1943 .  Although this work was developed in the early forties, many of the principles can still be seen in neural networks today. Assumption of McCullouch & Pitts Neurons : It is divided into two parts  input g and output f . The first part  g , takes an input and performs aggregation, and based on that value the second part  f , makes a decision. These inputs can either be  excitatory  or...

  What are the main components of a Neural Network? How does a neural network work? By Placement Talk786   Jun 06,2021 What is a Neural Network? As the name suggests a neural network is based on biological neural networks in our brain. Our brain is made up of neurons which interact with each other via signals through connection known as synapses. Each neuron sends signals to other neurons based on the signals they themselves receive from other neurons. Similarly, a neural network has layers of  neurons  (or nodes) that are highly interconnected with other neurons. The neurons are organized in the form of layers and typically hold some information. Training data is introduced to the neural network through the  input layer  which is then communicated to  hidden layers.  A neural network can have one or more hidden layers and this is where all the processing actually happens. The last hidden layer is linked to the  output layer  which has o...