05 Oct Deep Learning Tutorial

Deep Learning is a subset of Machine Learning using neural networks to model and solve complex problems. A complex problem is broken down into smaller parts. Deep Learning includes neural networks with more than one layer, called “deep learning”.

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The Deep Learning tutorial is prepared for students, engineers, and professionals. It will help them understand Deep Learning concepts.

Deep Learning Tutorial – Index

☑️ Deep Learning Introduction

• What is Deep Learning
• Deep Learning – Features
• AI vs ML vs DL
• Deep Learning – Advantages and Disadvantages
• Deep Learning- Applications
• Deep Learning – Types
• Neural Network

☑️ Types of Deep Learning/ Popular Neural Networks/ Top Deep Learning Models

• Feedforward Neural Networks (FNN)
• Convolutional Neural Network (CNN)
• Recurrent Neural Networks (RNN)
• Long short-term memory (LSTM)
• Generative Adversarial Networks (GANs)
• Autoencoders

☑️ More about CNNs

• What are Convolutional Neural Networks (CNNs)
• Why are Convolutional Networks so Great (Advantages)?
• Pooling Layers and their types

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