DL0122EN

EDX - Using GPUs to Scale and Speed-up Deep Learning Course notebooks for the term H18. EDX/DL0122EN restrictions apply.

The notebooks are illustrative samples to show GPU vs CPU implementations of AI problems.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
ML0120EN-3.1-Reveiw-LSTM-basics.ipynb		ML0120EN-3.1-Reveiw-LSTM-basics.ipynb
ML0120EN-3.2-Review-LSTM-LanguageModelling.ipynb		ML0120EN-3.2-Review-LSTM-LanguageModelling.ipynb
ML0122EN-Project-LSTM-CharacterModelling-PowerAI.html		ML0122EN-Project-LSTM-CharacterModelling-PowerAI.html
ML0122EN-Project-LSTM-CharacterModelling-PowerAI.ipynb		ML0122EN-Project-LSTM-CharacterModelling-PowerAI.ipynb
ML0122EN-Project-Solution-Template.ipynb		ML0122EN-Project-Solution-Template.ipynb
ML0122EN-Review-CNN-MNIST-Dataset-PowerAI.html		ML0122EN-Review-CNN-MNIST-Dataset-PowerAI.html
ML0122EN-Review-CNN-MNIST-Dataset-PowerAI.ipynb		ML0122EN-Review-CNN-MNIST-Dataset-PowerAI.ipynb
ML0122EN-Review-CNN-MNIST-Dataset.ipynb		ML0122EN-Review-CNN-MNIST-Dataset.ipynb
ML0122EN-Review-GPU_vs_CPU.ipynb		ML0122EN-Review-GPU_vs_CPU.ipynb
README.md		README.md

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