Home Uncategorized Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

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Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn

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🔥 Enroll for FREE Artificial Intelligence Course & Get your Completion Certificate: />This video on “What is a Neural Network” delivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network.

0:00 What is a Neural Network?
0:33 How Neural Networks work?
03:43 Neural Network examples
04:21 Quiz
04:52 Neural Network applications

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Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change.

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1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build Deep Learning models in TensorFlow and interpret the results

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1. Software engineers
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