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Data Science 365
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Deep Learning
Rukshan Pramoditha
in
Data Science 365
Mar 25, 2023
Using Inbuilt Datasets with
TensorFlow Datasets (TFDS)
Take advantage of ready-to-use datasets with…
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40
Rukshan Pramoditha
in
Data Science 365
Dec 7, 2022
Altering the Sampling Distribution of the Training Dataset to Improve Neural Network’s Accuracy
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Rukshan Pramoditha
in
Data Science 365
Dec 3, 2022
Generative Adversarial Networks (GANs)
A Short Introduction to GANs in Generative Deep Learning
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116
1 response
Rukshan Pramoditha
in
Data Science 365
Oct 31, 2022
Deep Learning Hardware Selection Guide for 2023
To run deep learning models incredibly faster
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64
Rukshan Pramoditha
in
Data Science 365
Oct 12, 2022
Top 20 Machine Learning and Deep Learning Mistakes That Secretly Happen Behind the Scenes
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31
1 response
Rukshan Pramoditha
in
Data Science 365
Oct 5, 2022
Learning Rate Schedules and Decay in Keras Optimizers
Options for changing the learning rate during…
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9
Rukshan Pramoditha
in
Data Science 365
Sep 8, 2022
How the Dimension of Autoencoder Latent Vector Affects the Quality of Latent Representation
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9
Rukshan Pramoditha
in
Data Science 365
Aug 30, 2022
Batch Normalization Explained in Plain English
Theory and implementation in Keras
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7
Rukshan Pramoditha
in
Data Science 365
Aug 26, 2022
All You Need to Know about Batch Size, Epochs and Training Steps in a Neural Network
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433
2 responses
Rukshan Pramoditha
in
Data Science 365
Aug 2, 2022
An Introduction to Autoencoders in Deep Learning
Understanding the principles behind autoencoders
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31