PyTorch Power: From Zero to Deep Learning Hero
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1
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Course Content
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Introduction to Instructor and Aisciences
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Benefits of Framework
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Installation Pytorch
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2
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Introduction to Tensor
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List vs Array vs Tensor
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Arithmetic Operations
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Tensor Operations
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Auto-Gradiants
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Activity Solution
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Detaching Gradients
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Loading GPU
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3
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Introduction to Module
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Basic NN part 1
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Basic NN part 2
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Loss Functions
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Activation Functions & Hidden Layers
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Optimizers
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Data Loader & Dataset
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Activity
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Activity Solution
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Formating the Output
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Graph for Loss
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4
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Introduction to Module
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CNN vs NN
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Introduction to Convolution
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Convolution Animations
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Convolution using Pytorch
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Introduction to Pooling
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Pooling using Numpy
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Pooling in Pytorch
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Introduction to Project
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Project (Data Loading)
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Project (Transforms)
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Project (DataLoaders)
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Project (CNN Architect)
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Project (Forward Propagation)
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Project (Training CNN)
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Project (Analyzing Model Output)
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Project (Making Predictions)