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Tag: tensorflow

Object Detection for Images and Videos with TensorFlow 2.0

Object Detection for Images and Videos with TensorFlow 2.0

Chris15 January 202118 January 2021Leave a comment
Object detection is one of the areas in Deep Learning where much progress has been made. Using a variety of...
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Using SELU with TensorFlow 2.0 and Keras

Using SELU with TensorFlow 2.0 and Keras

Chris12 January 202120 January 2021Leave a comment
Neural networks thrive on nonlinear data only when nonlinear activation functions are used. The Rectified Linear Unit, or RELU, is...
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Bidirectional LSTMs with TensorFlow 2.0 and Keras

Bidirectional LSTMs with TensorFlow 2.0 and Keras

Chris11 January 202120 January 2021Leave a comment
Long Short-Term Memory networks or LSTMs are Neural Networks that are used in a variety of tasks. Used in Natural...
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Build an LSTM Model with TensorFlow 2.0 and Keras

Build an LSTM Model with TensorFlow 2.0 and Keras

Chris7 January 202120 January 20211 Comment
Long Short-Term Memory (LSTM) based neural networks have played an important role in the field of Natural Language Processing. In...
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Using Deep Learning for Classifying Mail Digits

Using Deep Learning for Classifying Mail Digits

Chris3 December 20203 December 2020Leave a comment
Deep Learning, the subset of Machine Learning which employs Deep Neural Networks for generating models, can be used for many...
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How to check if your Deep Learning model is underfitting or overfitting?

How to check if your Deep Learning model is underfitting or overfitting?

Chris1 December 202013 January 20212 Comments
Training a Deep Learning model means that you have to balance between finding a model that works, i.e. that has...
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One-Hot Encoding for Machine Learning with TensorFlow 2.0 and Keras

One-Hot Encoding for Machine Learning with TensorFlow 2.0 and Keras

Chris24 November 202020 January 20212 Comments
When you are training a Supervised Machine Learning model, you are effectively feeding forward data through the model, comparing the...
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One-Hot Encoding for Machine Learning with Python and Scikit-learn

One-Hot Encoding for Machine Learning with Python and Scikit-learn

Chris24 November 202024 November 2020Leave a comment
Machine Learning models work with numbers. That is, they are mathematical models which improve themselves by performing mathematical optimization. It...
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Python Feature Scaling with Outliers in your Dataset

Python Feature Scaling with Outliers in your Dataset

Chris19 November 20208 December 2020Leave a comment
When you are training Machine Learning models, data preprocessing is an important activity. It is sometimes even crucial to the...
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Creating a Multilabel Neural Network Classifier with Tensorflow 2.0 and Keras

Creating a Multilabel Neural Network Classifier with Tensorflow 2.0 and Keras

Chris16 November 202020 January 2021Leave a comment
Neural networks can be used for a variety of purposes. One of them is what we call multilabel classification: creating...
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