Deep Learning / basic operations

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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A project written in C++ that implements basic operations such as backpropagation and forms of cross-validation. More advanced gradient descent techniques has been included in this project as well, notably the ADAM optimizer (the premier algorithm for gradient descent in recent years).

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