Aprendizaje automático e IA
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103:37 Programa con el framework Foundation Models
30:32 Codificación conjunta: Incorpora la IA en el dispositivo a tu app mediante la estructura Foundation Models
18:56 Desarrolla para Atajos y Spotlight con App Intents
29:40 Combina el aprendizaje automático y los gráficos de Metal 4
24:36 Conoce App Intents
25:31 Profundización en la estructura Foundation Models
20:22 Lee documentos con la estructura Vision
7:28 Diseña fragmentos interactivos
17:54 Profundiza en las herramientas de escritura
32:59 Optimiza el rendimiento del CPU con instrumentos
26:49 Explora nuevos avances en App Intents
22:11 Explora el diseño rápido y la seguridad para los modelos base en el dispositivo
23:24 Conoce la estructura Foundation Models
19:27 Descubre las estructuras de aprendizaje automático e IA en las plataformas de Apple
23:45 Novedades de BNNS Graph
20:08 Explora grandes modelos de lenguaje en el chip de Apple con MLX
19:07 Incorpora la conversión avanzada de voz a texto a tu app con SpeechAnalyzer
19:29 Comienza a usar MLX para el chip de Apple
17:56 What’s new in App Intents
11:32 What’s new in Create ML
20:03 Support real-time ML inference on the CPU
18:15 Deploy machine learning and AI models on-device with Core ML
17:01 Explore object tracking for visionOS
34:29 Use HDR for dynamic image experiences in your app
22:49 Build a great Lock Screen camera capture experience
17:33 Explore machine learning on Apple platforms
9:19 Design App Intents for system experiences
16:31 Meet the Translation API
16:49 Discover Swift enhancements in the Vision framework
16:06 What’s new in DockKit
25:06 Accelerate machine learning with Metal
21:18 Introducing enterprise APIs for visionOS
10:55 Support semantic search with Core Spotlight
21:49 Bring your app to Siri
23:48 Keep colors consistent across captures
26:02 Bring your app’s core features to users with App Intents
12:24 Get started with Writing Tools
30:09 Bring your machine learning and AI models to Apple silicon
18:21 Train your machine learning and AI models on Apple GPUs
18:38 Lift subjects from images in your app
13:47 Detect animal poses in Vision
19:56 What’s new in VisionKit
16:50 Discover machine learning enhancements in Create ML
14:25 Explore Natural Language multilingual models
14:38 Explore 3D body pose and person segmentation in Vision
17:35 Integrate with motorized iPhone stands using DockKit
23:21 Improve Core ML integration with async prediction
21:15 Optimize machine learning for Metal apps
25:18 Use Core ML Tools for machine learning model compression
7:52 Customize on-device speech recognition
16:46 What's new in Create ML
25:31 Get to know Create ML Components
12:11 Capture machine-readable codes and text with VisionKit
23:30 Optimize your Core ML usage
13:25 Compose advanced models with Create ML Components
19:48 What's new in Vision
17:19 Explore the machine learning development experience
29:51 Accelerate machine learning with Metal
25:18 Convert PyTorch models to Core ML
23:48 Explore and manipulate data in Swift with TabularData
15:48 Improve Object Detection models in Create ML
36:34 The process of inclusive design
32:44 Discoverable design
19:16 Discover built-in sound classification in SoundAnalysis
26:49 Classify hand poses and actions with Create ML
16:49 Build dynamic iOS apps with the Create ML framework
17:58 Detect people, faces, and poses using Vision
19:12 Extract document data using Vision
29:12 Accelerate machine learning with Metal Performance Shaders Graph
24:30 Tune your Core ML models
14:22 Use Accelerate to improve performance and incorporate encrypted archives
24:42 Use model deployment and security with Core ML
24:21 Detect Body and Hand Pose with Vision
26:06 Build an Action Classifier with Create ML
41:04 Make apps smarter with Natural Language
24:35 Explore Computer Vision APIs
11:48 Build Image and Video Style Transfer models in Create ML
36:27 Explore the Action & Vision app
18:39 Control training in Create ML with Swift
39:35 Build customized ML models with the Metal Performance Shaders Graph
31:16 Get models on device using Core ML Converters
14:34 Introducing the Create ML App
40:38 Core ML 3 Framework
14:49 What's New in Machine Learning
6:10 Advances in Speech Recognition
20:11 Training Sound Classification Models in Create ML
15:41 Training Object Detection Models in Create ML
12:05 Training Text Classifiers in Create ML
39:50 Understanding Images in Vision Framework
10:31 Training Recommendation Models in Create ML
15:01 Building Activity Classification Models in Create ML
39:19 Advances in Natural Language Framework
29:43 Creating Great Apps Using Core ML and ARKit
38:15 Text Recognition in Vision Framework
57:45 Designing Great ML Experiences
41:25