Training a neural network to recognize digits
At a glance
| Item | Summary |
|---|---|
| Purpose | Build a simple neural network and train it to recognize randomly generated numbers. |
| App architecture | A Swift sample centered on Digits, with direct use of Accelerate. |
| Main patterns | No named application pattern supported by the extracted structure |
| Project style | 10 scanned source file(s) across Swift, organized around ranked entry, type, and file boundaries. |
Project structure
Source bundle/
├── BNNS-Training-Sample/
│ ├── main.swift
│ ├── Digits.swift
│ ├── TrainingSample.swift
│ ├── Evaluation.swift
│ ├── FullyConnected.swift
│ ├── FusedConvBatchNorm.swift
│ ├── InputAndLabelGeneration.swift
│ ├── Loss.swift
│ ├── Pooling.swift
│ └── ResourceDeallocation.swift
└── BNNS-Training-Sample.xcodeproj/
├── .xcodesamplecode.plist
└── project.pbxproj
Structure observations
- Architecturally prominent files are ranked from entry points and role-named declarations; resource-only paths are omitted.
- Primary languages: Swift.
- The verified tree contains 3 project/configuration file(s) and 2 source declaration(s).
Overall architecture
flowchart LR
N1["Digits"]
N2["Accelerate APIs"]
N1 --> N2
Reference code
BNNS-Training-Sample/Digits.swift:14 — architecture anchor
struct Digits {
// ...
}Interpretation
The arrows summarize the source-visible entry, role-named types or folders, and framework direction; when nodes come from structural folders, the sequence is a high-level interpretation rather than proof that every adjacent node calls the next. Ownership is claimed only where the next section cites a stored property or assignment. The diagram is intentionally limited to the dominant path into Accelerate.
Ownership and state
classDiagram
Digits *-- Array : zero
Digits *-- Array : one
Digits *-- Array : two
Digits *-- Array : three
Ownership evidence
BNNS-Training-Sample/Digits.swift:18 — stored dependency or nearest verified ownership anchor
static let zero: [Float] = [0, 0, 1, 1, 0, 0,
0, 1, 0, 0, 1, 0,
0, 1, 0, 0, 1, 0,
0, 1, 0, 0, 1, 0,
0, 1, 0, 0, 1, 0,
0, 0, 1, 1, 0, 0]| Owner | Object or state | Relationship | Mutation authority |
|---|---|---|---|
Digits |
Array (zero) |
owns value state | Initialized by the owner; the binding is immutable |
Digits |
Array (one) |
owns value state | Initialized by the owner; the binding is immutable |
Digits |
Array (two) |
owns value state | Initialized by the owner; the binding is immutable |
Digits |
Array (three) |
owns value state | Initialized by the owner; the binding is immutable |
Composition arrows indicate a source-visible construction expression or locally owned value state; aggregation means the owner stores or receives a dependency without proving exclusive lifetime ownership.
Class and protocol design
BNNS-Training-Sample/Digits.swift:14 — representative type boundary
struct Digits {
// ...
}| Type | Responsibility | Depends on or conforms to |
|---|---|---|
Digits |
Represents a feature value or composable behavior | Concrete collaborators/imported frameworks |
TrainingSample |
Represents a feature value or composable behavior | Concrete collaborators/imported frameworks |
No local protocol conformance is claimed as protocol-oriented design; external framework conformances are listed only as dependencies.
Access control
| Symbol | Access | Verified effect | Likely rationale |
|---|---|---|---|
Digits (BNNS-Training-Sample/Digits.swift:14) |
implicit internal |
No explicit modifier means the Swift declaration is internal to the module. | Inference: app-target collaboration needs no exported library surface. |
TrainingSample (BNNS-Training-Sample/TrainingSample.swift:10) |
implicit internal |
No explicit modifier means the Swift declaration is internal to the module. | Inference: app-target collaboration needs no exported library surface. |
main (BNNS-Training-Sample/main.swift:8) |
implicit internal |
No explicit modifier means the Swift declaration is internal to the module. | Inference: app-target collaboration needs no exported library surface. |
Reference code
BNNS-Training-Sample/Digits.swift:14 — representative boundary
struct Digits {
// ...
}Swift declarations without a modifier are internal; explicit private, fileprivate, private(set), public, or open entries above are interpreted by language semantics. Objective-C/C samples instead rely on header and implementation boundaries, which are not equivalent to Swift lexical privacy.
Logic ownership and placement
| Logic | Owning type or file | Placement rationale |
|---|---|---|
| Feature and framework orchestration | Digits |
The sample keeps the demonstrated path in its primary concrete type. |
Design patterns
| Pattern | Source evidence | Purpose or tradeoff |
|---|---|---|
| No named application pattern | BNNS-Training-Sample/Digits.swift:14 |
The verified source directly composes concrete framework types; this document avoids forcing a pattern name. |
Naming conventions
- Types: feature-specific names rather than reusable layer suffixes.
- Protocols: no local protocol declaration in the scanned source.
- Methods:
testExample,runTrainingExample,forwardPass,backwardPass,optimizerStep,test,backwardFully,backwardFused. - Files:
BNNS-Training-Sample/Digits.swift,BNNS-Training-Sample/TrainingSample.swift.
Architecture takeaways
Digitsis the main source-visible entry or composition anchor for this sample.- Framework work reaches Accelerate through a deliberately small high-level chain; the detailed API graph remains inside the cited implementation files.
- Stored-property evidence identifies lifecycle collaboration; it does not by itself prove exclusive object ownership.
- Access-control conclusions separate verified language visibility from the likely design rationale.
- The source does not justify labeling the design protocol-oriented.
Source map
| Source file | Relevant symbols |
|---|---|
BNNS-Training-Sample/main.swift |
Feature implementation |
BNNS-Training-Sample/Digits.swift |
Digits |
BNNS-Training-Sample/TrainingSample.swift |
TrainingSample |
BNNS-Training-Sample/Evaluation.swift |
Feature implementation |
BNNS-Training-Sample/FullyConnected.swift |
Feature implementation |
BNNS-Training-Sample/FusedConvBatchNorm.swift |
Feature implementation |
BNNS-Training-Sample/InputAndLabelGeneration.swift |
Feature implementation |
BNNS-Training-Sample/Loss.swift |
Feature implementation |
BNNS-Training-Sample/Pooling.swift |
Feature implementation |
BNNS-Training-Sample/ResourceDeallocation.swift |
Feature implementation |