Keras

python

Protected: Deep learning for computer vision with Python and Keras (4) Visualization of CNN training data

Interpreting CNNs with visualization in DNNs using python/keras for digital transformation and artificial intelligence tasks
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Protected: Deep learning for computer vision with Python and Keras (2) Improving CNNs with small amounts of data through data expansion

Methods to improve CNNs for small amounts of data using pyhton/Keras for digital transformation and artificial intelligence tasks (improving overtraining by data expansion)
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Protected: Deep Learning for Computer Vision with Python and Keras(1) – Convolution and Pooling

Overview of convolution and pooling in pyhton/keras/CNN for image recognition using deep learning for digital transformation and artificial intelligence tasks.
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Protected: Deep learning with Python and Keras – a methodology for deep learning

Optimization methods in deep learning using python/keras for digital transformation and artificial intelligence tasks.
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Protected: Introduction to deep learning with Python and Keras (4) Practical application example (3) Regression for predicting house prices

Continuous value and minority data learning (k-split cross-validation) using deep learning with python/Keras for digital transformation and artificial intelligence.
python

Protected: Introduction to deep learning with Python and Keras (3) Practical application example (2) Multi-class classification of news delivery

DNN implementation of multi-level classification of text information using python's keras for digital transformation and artificial intelligence tasks.
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Protected: Introduction to deep learning with Python and Keras (2) Practical application example (1) Two-class classification of text data

DNN implementation of binary classification of text information using python's keras for digital transformation and artificial intelligence tasks.
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Protected: Introduction to deep learning with Python and Keras (1) Overview of how to use Keras

Overview of Keras, a Python platform for implementing deep learning for digital transformation and artificial intelligence task utilization.
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Protected: Hello World of Neural Networks, Implementation of Handwriting Recognition with MNIST Data

On the Implementation with python and Keras of HelloWorld and handwriting recognition of neural networks in machine learning using neural nets for digital transformation and artificial intelligence tasks.
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