2 repositorios
Awesome GitHub RepositoriesAdaptive Optimizers
Advanced gradient descent algorithms that adjust learning rates dynamically.
Distinct from Adam Optimizers: Covers a suite of optimizers including Adam, RMSprop, and Momentum, not just Adam
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Awesome Adaptive Optimizers GitHub Repositories
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- brightmart/albert_zh
brightmart/albert_zh
3,982Ver en GitHubThis project is an implementation of the ALBERT language model architecture, providing a framework for training and evaluating transformer-based text classifiers and similarity models. It specifically includes pre-trained assets and tools optimized for generating semantic embeddings and representations of Chinese text. The framework distinguishes itself through tools for converting heavy language model checkpoints into lightweight formats to enable low-latency inference on mobile devices. It utilizes specific weight reduction techniques, including cross-parameter sharing and factorized embedd
Implements adaptive gradient descent algorithms to adjust learning rates dynamically during training.
Pythonalbertbertchinese-corpus - ashishpatel26/andrew-ng-notes
ashishpatel26/Andrew-NG-Notes
3,594Ver en GitHubThis project is a collection of structured study notes and notebooks serving as an educational resource for deep learning and neural network fundamentals. It provides a technical reference for implementing machine learning theory, covering everything from basic network design to the construction of advanced architectures. The material specifically focuses on the implementation of convolutional neural networks for computer vision and sequence models for natural language processing. It includes detailed guidance on building object detection systems, face recognition, and speech transcription mo
Implements advanced optimization algorithms like Adam and RMSprop to accelerate model convergence.
Jupyter Notebookandrew-ngandrew-ng-courseandrew-ng-machine-learning
