mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-06-02 08:32:31 -05:00
- Added package structure documentation explaining modules/source/ vs tinytorch.core. - Enhanced mathematical foundations with linear algebra refresher and Universal Approximation Theorem - Added real-world applications for each activation function (ReLU, Sigmoid, Tanh, Softmax) - Included mathematical properties, derivatives, ranges, and computational costs - Added performance considerations and numerical stability explanations - Connected to production ML systems (PyTorch, TensorFlow, JAX equivalents) - Implemented streamlined 'tito export' command with automatic .py → .ipynb conversion - All functionality preserved: scripts run correctly, tests pass, package integration works - Ready to continue with remaining modules (layers, networks, cnn, dataloader)
67 lines
7.5 KiB
Python
67 lines
7.5 KiB
Python
# Autogenerated by nbdev
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d = { 'settings': { 'branch': 'main',
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'doc_baseurl': '/TinyTorch/',
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'doc_host': 'https://tinytorch.github.io',
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'git_url': 'https://github.com/tinytorch/TinyTorch/',
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'lib_path': 'tinytorch'},
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'syms': { 'tinytorch.core.activations': { 'tinytorch.core.activations.ReLU': ( '02_activations/activations_dev.html#relu',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.ReLU.__call__': ( '02_activations/activations_dev.html#relu.__call__',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.ReLU.forward': ( '02_activations/activations_dev.html#relu.forward',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Sigmoid': ( '02_activations/activations_dev.html#sigmoid',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Sigmoid.__call__': ( '02_activations/activations_dev.html#sigmoid.__call__',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Sigmoid.forward': ( '02_activations/activations_dev.html#sigmoid.forward',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Softmax': ( '02_activations/activations_dev.html#softmax',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Softmax.__call__': ( '02_activations/activations_dev.html#softmax.__call__',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Softmax.forward': ( '02_activations/activations_dev.html#softmax.forward',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Tanh': ( '02_activations/activations_dev.html#tanh',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Tanh.__call__': ( '02_activations/activations_dev.html#tanh.__call__',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.Tanh.forward': ( '02_activations/activations_dev.html#tanh.forward',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations._should_show_plots': ( '02_activations/activations_dev.html#_should_show_plots',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.visualize_activation_function': ( '02_activations/activations_dev.html#visualize_activation_function',
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'tinytorch/core/activations.py'),
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'tinytorch.core.activations.visualize_activation_on_data': ( '02_activations/activations_dev.html#visualize_activation_on_data',
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'tinytorch/core/activations.py')},
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'tinytorch.core.setup': { 'tinytorch.core.setup.personal_info': ( '00_setup/setup_dev.html#personal_info',
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'tinytorch/core/setup.py'),
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'tinytorch.core.setup.system_info': ( '00_setup/setup_dev.html#system_info',
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'tinytorch/core/setup.py')},
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'tinytorch.core.tensor': { 'tinytorch.core.tensor.Tensor': ('01_tensor/tensor_dev.html#tensor', 'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__add__': ( '01_tensor/tensor_dev.html#tensor.__add__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__init__': ( '01_tensor/tensor_dev.html#tensor.__init__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__mul__': ( '01_tensor/tensor_dev.html#tensor.__mul__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__repr__': ( '01_tensor/tensor_dev.html#tensor.__repr__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__sub__': ( '01_tensor/tensor_dev.html#tensor.__sub__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.__truediv__': ( '01_tensor/tensor_dev.html#tensor.__truediv__',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.add': ( '01_tensor/tensor_dev.html#tensor.add',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.data': ( '01_tensor/tensor_dev.html#tensor.data',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.dtype': ( '01_tensor/tensor_dev.html#tensor.dtype',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.multiply': ( '01_tensor/tensor_dev.html#tensor.multiply',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.shape': ( '01_tensor/tensor_dev.html#tensor.shape',
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'tinytorch/core/tensor.py'),
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'tinytorch.core.tensor.Tensor.size': ( '01_tensor/tensor_dev.html#tensor.size',
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'tinytorch/core/tensor.py')}}}
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