PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models .
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What You'll Learn
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Master building neural networks using PyTorch for deep learning applications and model training efficiency
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Implement automatic differentiation and gradient computation for complex deep learning models in PyTorch
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Design and optimize convolutional neural networks (CNNs) for image recognition and computer vision tasks with PyTorch
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Develop recurrent neural networks (RNNs) and sequence models for natural language processing using PyTorch
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Apply transfer learning and fine-tuning techniques to improve deep learning model performance in PyTorch
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Troubleshoot and debug deep learning models effectively to enhance accuracy and computational efficiency
Course Content
6 Lessons • 12 h 5 m total
Deep Learning with PyTorch Live Course Tensors Gradient Descent Linear Regression Part 1 of 6
Deep Learning with PyTorch Live Course Working with Images Logistic Regression Part 2 of 6
Deep Learning with PyTorch Live Course Training Deep Neural Networks on GPUs Part 3 of 6
Deep Learning with PyTorch Live Course Image Classification with CNNs Part 4 of 6
Deep Learning with PyTorch Live Course ResNet Regularization and Data Augmentation Part 5 of 6
How to Get The Certificate
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You must have an Account on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
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Deep with PyTorch Course Description
PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models .
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