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Autoencoders

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What is an autoencoder

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Important Properties 1. Data-specific 2. Lossy 3. Unsupervised

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Encoder

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Latent vector

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Decoder

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Autoencoder

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Loss function

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Autoencoders with TF Encoder

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Autoencoders with TF Decoder

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Autoencoders with TF Training

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Applications of Autoencoders Image Reconstruction

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Applications of Autoencoders Dimensionality reduction

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Applications of Autoencoders Denoising data

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Applications of Autoencoders Image colorization

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Applications of Autoencoders Image/data generation

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Applications of Autoencoders ● Sequence to sequence prediction ○ predict the next frame of a video ○ generate fake videos ● Recommendation system ● Feature Extraction ● Image Compression ● latent space clustering

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1. Sparse Autoencoder 2. Autoencoder 3. Convolutional Autoencoder 4. Denoising 5. Sequence-to-sequence Autoencoder 6. Variational Autoencoder Types of Autoencoders

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Any Questions??

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