1 how does a single artificial neuron ie pe work 2 list and...

Name: 1 how does a single artificial neuron ie pe work 2 list and briefly describe the most commonly used ann activation functions 3 what is mlp and how does it work 4 explain the function of weig 39539
Uploaded: 2023-06-13T06:30:24-08:00
Duration: 7 min 28 s
Channel: Supreeta N
Description: 1 how does a single artificial neuron ie pe work 2 list and briefly describe the most commonly used ann activation functions 3 what is mlp and how does it work 4 explain the function of weig 39539

1. How does a single artificial neuron (i.e., PE) work? 2. List and briefly describe the most commonly used ANN activation functions. 3. What is MLP, and how does it work? 4. Explain the function of weights in ANN. 5. Describe the summation and activation functions in MLP-type ANN architecture

Transcript

00:01 Hello students, an ann, an artificial neural network is a computational model.

00:12 It is a computational model, computational model which is inspired by the structure and the functions of the human brain and it consists of layers, it consists of layers of interconnection of a node that allows us to learn the data, that allows us to learn the data and it also recognizes, recognize, recognize the pattern, it recognize the patterns and it also makes a decision, it helps us to make the decision and the ann can be used, can be used in a various of the problem.

01:02 So, few of them like including image and speech recognization, image and speech recognization, speech recognization, recognization and it can be used in a natural level, natural, natural language processing and it is also being used in predicting the task, predicting the task as the prediction of an weather, a prediction of a crops to be grown in a field like in a various seasons.

01:40 So, these are some of the way that we can use our ann techniques.

01:45 So, our ann and a biological neural network differs in their ann artificial network and the biological network differs in the terms of their structure, in terms of their structure, in terms of their function, they both differs in terms of the structures and the functions and the learning mechanism, in this also in learning mechanism as, as while the artificial network, artificial networks are typically designed for the specific task and operates using a numerical data, it operates using a numerical data, fine, numerical data but whereas, numerical data whereas the biological networks are highly adaptable and can process and can process multiple types of an information and operation using an electrical and chemical signals, using an electrical and the chemical signals and chemical, chemical signals, chemical signals whereas the ann lacks the complexity and plasticity of an compared to, compared to biological network, artificial network lacks, lacks the complexity, complexity and its plasticity and its plasticity of the biological network, of its, the biological network, okay but they can be much faster and more efficient for a certain task...

Question

1. How does a single artificial neuron (i.e., PE) work? 2. List and briefly describe the most commonly used ANN activation functions. 3. What is MLP, and how does it work? 4. Explain the function of weights in ANN. 5. Describe the summation and activation functions in MLP-type ANN architecture

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