Channel: Learn By Watch

Category: Education

Tags: neural networks and deep learningneural networks in artificial intelligenceneural networksdeep learning algorithmsmachine learningneural networks explainedneural network machine learningsingle neuron neural networkdeep learningneural networks tutorialneural network architecturemachine learning neural networksneural networks in machine learningneural network deep learningneural network forward propagationmachine learning vs deep learning

Description: A Neural Network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. In this video you will learn about these topics: ● Why deep learning is growing - The main reason is the huge increase in the amount of dataset we have. Classica machine learning models are not able to learn some complex functions but with deep learning and large datasets, our model can learn many complex functions ● Machine learning Vs Deep learning - Understood the key differences between machine learning and deep learning ● Single neuron - Looked at how a single neuron works and also looked at the maths behind it. ● Structure of a neural network with one and two hidden units ● Dimension of matrices - Explained how we can find out the dimensions of different matrices which will be used in the model. Learning how to determine the dimension of a matrix is important especially when we are debugging ● Forward propagation - How a neural network takes input into the first layer, goes deep into the network and finally predicts the output. Also saw the mathematical calculations involved.