Hands On Deep Learning Algorithms with Python: Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow by Sudharsan Ravichandiran

By: Ravichandiran, SudharsanMaterial type: TextTextPublication details: UK Packt Publishing Ltd. 2019Description: 493pISBN: 9781789344158Subject(s): MCSDDC classification: 006.31
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Reference Book Reference Book Institute of Technology
Reference 006.31 RAV (Browse shelf(Opens below)) Not For Loan T0052375
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Section – 1: Getting Started with Deep Learning
Introduction to Deep Learning What is Deep Learning?
Getting to Know Tensor Flow
Section – 2: Fundamental Deep Learning Algorithms
Gradient Descent and Its Variants Demystifying Gradient Descent
Generating Song Lyrics Using RNN Introducing RNNs
Improvements to the RNN LSTM to the Rescue
Demystifying Convolutional Networks What are CNNs?
Learning Text Representations Understanding the Word2vec Model
Section – 3: Advanced Deep Learning Algorithms
Generating Images Using GANs Differences Between Discriminative and Generative Models Say Hello to GANs
Learning More about GANs Conditional GANs
Reconstructive Inputs Using Auto Encoders What is an Auto encoder?
Exploring Few Shot Learning Algorithms What is Few Shot Learning?

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