Speech Processing Engineer

Deep Learning (Adaptive Computation and Machine...

An Introduction to Variational Autoencoders...

An Introduction to Variational Autoencoders

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This paper introduces variational autoencoders (VAEs), a type of autoencoder that uses probabilistic inference to learn a latent representation of the input data. VAEs are able to generate new data samples and are useful for tasks such as image generation and text generation. The paper is written by leading researchers in the field and is suitable for both students and researchers.

Deep Learning for Coders with Fastai and PyTorch:...

Deep Learning for Coders with fastai and PyTorch

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Covers the basics of deep learning, including topics such as convolutional neural networks, recurrent neural networks, and autoencoders. It is written in a clear and concise style and is suitable for both beginners and experienced programmers.

Deep Learning for Coders with fastai and PyTorch:...

Generative Deep Learning: Teaching Machines To...

Generative Deep Learning

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Covers the basics of generative deep learning, including topics such as generative adversarial networks (GANs), variational autoencoders (VAEs), and reinforcement learning. It is written in a clear and concise style and is suitable for both beginners and experienced programmers.

Generative Deep Learning: Teaching Machines to...

(Deutsch) Generatives Deep Learning: Maschinen das Malen,...

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(Français) Deep learning génératif

Generative Deep Learning: Teaching Machines To...

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(中文) Generative deep learning(Chinese Edition)

Deep Learning with R

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Provides a comprehensive overview of deep learning, including topics such as autoencoders, convolutional neural networks, and recurrent neural networks. It is written in a clear and concise style and is suitable for both beginners and experienced programmers.

Grokking Deep Learning

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Provides a comprehensive overview of machine learning, including topics such as autoencoders, convolutional neural networks, and recurrent neural networks. It is written in a clear and concise style and is suitable for both beginners and experienced programmers.

Grokking Deep Learning

Python Programming: Learn the Ultimate Strategies...

Machine Learning

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Provides a comprehensive overview of artificial neural networks, including topics such as autoencoders, convolutional neural networks, and recurrent neural networks. It is written in a clear and concise style and is suitable for both beginners and experienced programmers.

Machine Learning: Jump on the Way to the Future,...