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Deep Learning with Python and PyTorch

Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.


Featured on: Oct 12, 2018

The course will teach you how to develop Deep Learning models using Pytorch while providing the necessary deep-learning background.We l start off with PyTorch tensors and its Automatic Differentiation package. Then we l cover different Deep Learning models in each section, beginning with fundamentals such as Linear Regression and logistic/softmax regression.We l then move on to Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers.In the final part of the course, we l focus on Convolutional Neural Networks and Transfer Learning (pre-trained models). Several other Deep Learning methods will also be covered.


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