Course #4
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Course #4
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- Expanded the math module to include new lessons on Functions, Vectors, Matrices, and Gradients, bringing the total to 9 lessons. - Updated navigation links and content paths for improved lesson flow. - Enhanced the homepage and learning page with updated links and descriptions for better user engagement.
- Introduced a new "Tensors in Practice" module with lessons on creating and manipulating tensors, enhancing the learning experience for users. - Updated navigation links to reflect the new module and adjusted lesson numbering in the Neural Networks section for consistency. - Revised the next link in the Gradients page to direct users to the new Tensors module.
…ture - Renamed the "Tensors in Practice" module to "PyTorch Fundamentals" to better reflect its content. - Updated lesson titles and descriptions to align with the new module name, enhancing clarity for users. - Adjusted lesson numbering for consistency throughout the course navigation.
- Introduced a new "Neuron From Scratch" module with lessons covering the fundamentals of neurons, including their structure, functions, and implementation in Python. - Updated the navigation to include links to the new module and adjusted the next link in the "Creating Special Tensors" page for consistency. - Enhanced the course navigation component to reflect the new lessons and their titles in both English and Chinese.
- Introduced a new "Activation Functions" module with lessons covering various activation functions including ReLU, Sigmoid, Tanh, SiLU, SwiGLU, and Softmax. - Updated the navigation component to include links to the new module and its lessons in both English and Chinese. - Adjusted the next link in the "Concept of Learning" page to direct users to the ReLU lesson for improved learning flow.
- Removed outdated lessons on "Introduction," "Forward Propagation," "Backpropagation," and "Training & Optimization" to streamline the learning path. - Introduced new lessons: "Architecture of a Network," "Building a Layer," "Implementing a Network," "The Chain Rule," "Calculating Gradients," "Backpropagation in Action," and "Implementing Backpropagation" to enhance the curriculum. - Updated course navigation to reflect the new lesson titles and paths in both English and Chinese, improving user experience and learning flow.
…sformer Modules with Navigation Updates - Introduced new modules for "Attention Mechanism," "Transformer Feedforward," and "Building a Transformer," each containing multiple lessons to enhance the curriculum. - Updated the course navigation to include links to the new modules and their lessons in both English and Chinese, improving user experience and learning flow. - Enhanced the layout and design of the learning page to accommodate the new content, ensuring a cohesive learning experience.
- Introduced comprehensive explanations and examples for tensor addition, covering scalar, vector, and matrix addition. - Included visual aids and manual calculations to enhance understanding. - Explained broadcasting and addition rules, with practical applications such as adjusting image brightness. - Summarized key takeaways for quick reference on tensor addition principles.
… consistency across multiple files.
…network content for enhanced visual understanding
…tion and auto-scroll functionality. Implement dynamic lesson links based on course structure and improve user experience with smooth scrolling to active lessons.
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vukrosic
had a problem deploying
to
github-pages
GitHub Actions
Failure
vukrosic
had a problem deploying
to
github-pages
GitHub Actions
Failure
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