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Deep Neural Networks with PyTorch
  • Level Professional
  • المدة 31 ساعات hours
  • Offered by

عن

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.

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Deep Neural Networks with PyTorch is a comprehensive Data Science & AI course offered by Coursera, taught by industry experts. Focused on deep learning models, it covers PyTorch basics, Linear and Logistic Regression, Feedforward Neural Networks, CNNs, and Transfer Learning over 1860 minutes. Available with Starter and Professional subscriptions, it's ideal for professional-level learners aiming to advance their skills.