Collection of a variety of Deep Learning (DL) code examples, tutorial-style Jupyter notebooks, and projects. Quite a few of the Jupyter notebooks are built on Google Colab and may employ special ...

The Geo-Deep-Learning project stems from an initiative at NRCan's CCMEO. Its aim is to allow using Convolutional Neural Networks (CNN) with georeferenced datasets. In Geo-Deep-Learning, the learning ...

Examples----- Examples can be found under pdnn/examples. This example archive will be updated and enriched continuously. At the bottom of each documentation page, you can find the example for each ...

Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries. Skip to content Menu ...

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, ... Learn simple data curation by creating a pickle with ...

Machine learning in Python is powerful through the facilities of TensorFlow and Scikit-learn. While TensorFlow has broader applications in advanced deep learning-based complex models with large ...

Even in TensorFlow 1.12, the official Get Started with TensorFlow tutorial uses the high-level Keras API embedded in TensorFlow, tf.keras.By contrast, the TensorFlow Core API requires working with ...