on_boarding.md

graph LR
    Model_Architectures["Model Architectures"]
    Perforated_Bottleneck_Components["Perforated Bottleneck Components"]
    Training_Evaluation_Engine["Training & Evaluation Engine"]
    Data_Management["Data Management"]
    Public_API_Configuration["Public API & Configuration"]
    Experiment_Tracking["Experiment Tracking"]
    Application_Examples["Application Examples"]
    Model_Architectures -- "utilizes" --> Perforated_Bottleneck_Components
    Model_Architectures -- "consumed by" --> Training_Evaluation_Engine
    Perforated_Bottleneck_Components -- "provides services to" --> Model_Architectures
    Perforated_Bottleneck_Components -- "exposed via" --> Public_API_Configuration
    Training_Evaluation_Engine -- "receives data from" --> Data_Management
    Training_Evaluation_Engine -- "outputs metrics to" --> Experiment_Tracking
    Data_Management -- "supplies data to" --> Training_Evaluation_Engine
    Data_Management -- "orchestrated by" --> Application_Examples
    Public_API_Configuration -- "configures" --> Model_Architectures
    Public_API_Configuration -- "configures" --> Training_Evaluation_Engine
    Experiment_Tracking -- "receives data from" --> Training_Evaluation_Engine
    Application_Examples -- "orchestrates" --> Training_Evaluation_Engine
    Application_Examples -- "directly uses" --> Model_Architectures
    click Model_Architectures href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Model_Architectures.md" "Details"
    click Perforated_Bottleneck_Components href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Perforated_Bottleneck_Components.md" "Details"
    click Training_Evaluation_Engine href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Training_Evaluation_Engine.md" "Details"
    click Data_Management href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Data_Management.md" "Details"
    click Public_API_Configuration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Public_API_Configuration.md" "Details"
    click Experiment_Tracking href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/PerforatedAI/Experiment_Tracking.md" "Details"

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Details

One paragraph explaining the functionality which is represented by this graph. What the main flow is and what is its purpose.

Model Architectures [Expand]

Defines and implements the core neural network architectures, including specialized Perforated Bottleneck (PB) models.

Related Classes/Methods:

• perforatedai.pb_models

Perforated Bottleneck Components [Expand]

Provides the fundamental building blocks, custom layers, and utility functions specific to the Perforated Bottleneck methodology.

Related Classes/Methods:

• perforatedai.pb_layer
• perforatedai.pb_utils

Training & Evaluation Engine [Expand]

Orchestrates the entire lifecycle of model training and evaluation, managing optimizers, loss functions, and performance assessment.

Related Classes/Methods: None

Data Management [Expand]

Handles the loading, transformation, augmentation, and batching of datasets, preparing data for training and inference.

Related Classes/Methods: None

Public API & Configuration [Expand]

Serves as the primary interface for users to interact with the library, exposing core functionalities and managing global settings and hyperparameters.

Related Classes/Methods:

• perforatedai.pb_globals (1:1000)
• perforatedai (1:1000)

Experiment Tracking [Expand]

Collects, logs, and potentially visualizes training metrics and internal model states for research and analysis.

Related Classes/Methods: None

Application Examples

Provides concrete, runnable examples demonstrating how to effectively use the PerforatedAI library for specific deep learning tasks.

Related Classes/Methods:

• mnist_perforatedai (1:1000)

FAQ