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ML307A-DCLN
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メーカーチャイナモバイル
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メーカー品番 #ML307A-DCLN
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データシート ML307A-DCLN DataSheet
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在庫状況17222
365 日間品質保証
7*24 日間の品質保証
90-時間単位のサービス保証
1日間のアフターサービス保証
仕様
| 属性 | 値 |
| Manufacturer | Chinamobile |
| Package | LCC-LGA-94 |
概要
Description
This introductory course would cover:
1. Fundamentals: Basics of ML, neural networks, and key DL concepts.
2. CNN Architecture: How convolutional layers, pooling, and activation functions work.
3. Applications: Image recognition, object detection, or other vision tasks.
4. Tools: Frameworks like TensorFlow or PyTorch for implementation.
It’s designed for students or professionals with basic programming/math knowledge, aiming to build practical DL skills. Check institutional details for exact syllabus.
Equivalent
- TI's TPS63060 (Buck-Boost Converter)
- Analog Devices' ADP5090 (Energy Harvesting PMIC)
- STMicroelectronics' ST1PS01 (Ultra-Low Power Boost Converter)
- Richtek's RT6150 (Synchronous Buck-Boost Converter)
Check datasheets for exact compatibility, as pinouts and specs may vary.
Pinout
Key Functions:
- GPIOs (General-Purpose I/O) for interfacing peripherals.
- Analog-to-Digital Converter (ADC) for sensor data acquisition.
- Serial Communication (UART, SPI, I2C) for connectivity.
- Timers/PWM for timing and motor control.
- Low-Power Modes for energy-efficient operation.
It is commonly used in IoT, consumer electronics, and industrial control systems. For exact pinout details, refer to the datasheet.
Manufacturer
Application
1. Smart Metering – Electricity, water, and gas monitoring.
2. Smart Agriculture – Soil, weather, and livestock tracking.
3. Industrial IoT – Equipment monitoring and predictive maintenance.
4. Smart Cities – Street lighting, waste management, and parking.
5. Asset Tracking – Logistics and supply chain management.
6. Environmental Monitoring – Air quality and pollution detection.
It supports long-range, low-power communication, making it ideal for remote and battery-operated IoT solutions.