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DEEP LEARNING, Aritificial Neural
Networks ANN - Coggle Diagram
DEEP LEARNING
ALGORITHM TYPES
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SEQUENTIAL,
TIME SERIES AND
NATURAL LANGUAGE
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Generative Taks,
Imges, Text, Audio
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Types of Algorithms
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APPLICATIONS
- Image classification,
detection, face recognition,
medical image anlysis.
- Natural Lnguage Processing,
speech recognition, sentiment analysis
- Language generation, text sumary,
time-series prediction, music generation
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Why do we need DL
- ML needs us to specify features
- DL extracts features from raw and complex data
- Internal representation of data is built using ex-
tracted features
- DL algorithms allow parallel processing of data
- Scalabiliy and performance
1950 Artificial Neuron / Multi-Layer perceptrons
1980 Multy-lyer Perceptrons with back propagation
1990 Convolutional Neural Networks(CNN)
2010 Graphics Processing Units (GPU)
2012 AlexNet, Deep Q-network
2016 Generative Adversarial networks (GAN) Transformers
Today LLMs, Diffusion models
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