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Combining CNNs and RNNs — Part 1: Implementing a 1D CNN Fifth Section in a Series of Python Deep Learning Posts Previous sections: Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Advanced Use of Recurrent Neural Networks medium.com Combining CNNs and RNNs Because 1D CNNs process input patches independently, they aren’t sensitive to the order of the timesteps (beyond a local scale, the size of the convolution windows), unlike RNNs. Of course, to recognize…

Implementing a 1D CNN — Fifth Section in a Series of Python Deep Learning Posts Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Advanced Use of Recurrent Neural Networks medium.com Implementing a 1D CNN In section 2, you learned about convolutional neural networks (CNNs) and how they perform particularly well on computer vision problems, due to their ability to operate convolutionally, extracting features from local input patches and allowing for representation modularity and data…

Bidirectional RNNs — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Bidirectional RNNs The last technique introduced in this section is called bidirectional RNNs. A bidirectional RNN is a common RNN variant that can offer greater performance than a regular RNN on certain tasks. …

Stacking Recurrent Layers — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Stacking Recurrent Layers Because you’re no longer overfitting but seem to have hit a performance bottleneck, you should consider increasing the capacity of the network. Recall the description of the universal machine-learning workflow: it’s generally a good idea to increase the capacity of…

Using Recurrent Dropout to Fight Overfitting — Fourth Section in a Series of Python Deep Learning Posts. Previous sections: Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Using Recurrent Dropout to Fight Overfitting It’s evident from the training and validation curves that the model is overfitting: the training and validation losses start to diverge considerably after a few epochs. You’re already familiar with a classic technique for fighting this phenomenon: dropout…

Recurrent Baseline — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Additionally, you can check out my series of posts on Apache Spark: Data Analysis with Scala and Spark medium.com Apache Spark and Hadoop on an AWS Cluster with Flintrock medium.com Recurrent Baseline

A Machine Learning Approach — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Additionally, you can check out the series of posts on Apache Spark Data Analysis with Scala and Spark medium.com Apache Spark and Hadoop on an AWS Cluster with Flintrock medium.com A Machine Learning Approach

A Non-Machine-Learning Baseline — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Additionally, you can check out the series of posts on Apache Spark Data Analysis with Scala and Spark medium.com Apache Spark and Hadoop on an AWS Cluster with Flintrock medium.com

Preparing the Data — Fourth Section in a Series of Python Deep Learning Posts. Previous Sections Python Deep Learning medium.com Convolutional Neural Networks medium.com Recurrent Neural Networks medium.com Additionally, you can check out the series of posts on Apache Spark Data Analysis with Scala and Spark medium.com Apache Spark and Hadoop on an AWS Cluster with Flintrock medium.com Preparing the Data