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Recurrent-Neural-Networks-for-Timeseries
Recurrent-Neural-Networks-for-Timeseries PublicLearn how to use recurrent neural networks, a technique originally developed for natural language processing, to model and forecast time series. You’ll also discover the advantages and disadvantage…
Jupyter Notebook 1
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Long-Short-Term-Memory
Long-Short-Term-Memory PublicIn this tutorial, you will see how you can use a time-series model known as Long Short-Term Memory. LSTM models are powerful, especially for retaining a long-term memory, by design, as you will see…
Jupyter Notebook
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GPT-3-Model
GPT-3-Model Public# Beginner’s Guide to the GPT-3 Model Demonstrating some interesting example applications in Python, with just a few lines of codes
Jupyter Notebook 3
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Generative-Adversarial-Networks
Generative-Adversarial-Networks PublicGenerative adversarial networks (GANs) are neural networks that generate material, such as images, music, speech, or text, that is similar to what humans produce.
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Traffic-Signs-Recognition-with-95-Accuracy-using-CNN-Keras
Traffic-Signs-Recognition-with-95-Accuracy-using-CNN-Keras PublicJupyter Notebook
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