All current Neural Networks Courses courses in 2024
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AWS ML Engineer Associate Curriculum Overview (Japanese)
AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)
Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
IA para todos: domina los conceptos básicos
En este MOOC, aprenderás qué es la IA y comprenderás sus aplicaciones y casos de uso y cómo está transformando nuestras vidas. Explorarás los conceptos básicos de la IA, como el aprendizaje automático, el aprendizaje profundo y las redes neuronales, así como los casos de uso y las aplicaciones de la IA. Estarás expuesto a las preocupaciones que r.
Introduction to On-Device AI
Introduction to On-Device AI
As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device:
Explore how deploying models on devic.
Troubleshooting and Improving Neural Network Performance
Troubleshooting and Improving Neural Network Performance
This course will teach you neural network troubleshooting and performance tuning from a data scientist's perspective. Understand various troubleshooting techniques for neural networks and how to improve neural network performance effectively.
In this course, Troubleshooting and Improving.
Object Detection Recognition and Tracking
Object Detection Recognition and Tracking
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection, recognition, and tracking using Tensorflow.
In this course, Object Detection Recognition and Tracki.
Neural Networks for Image Classification
Neural Networks for Image Classification
Unlock the potential of image classification with neural networks. This course will teach you to extract features, build, and evaluate models using TensorFlow, and explore advanced architectures with transfer learning.
In the digital age, the ability to categorize and understand images through.
Using Neural Networks for Image and Voice Data Analysis
Using Neural Networks for Image and Voice Data Analysis
Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data.
Deep learning, as opposed to machine learning, allows a more robust way to dea.
Implementing Neural Network Solutions in Enterprise Environments
Implementing Neural Network Solutions in Enterprise Environments
This course covers implementing neural network solutions and models in an enterprise. The topics include model deployment strategies, monitoring systems in production, integration with ETL and databases, and security.
Neural networks are rapidly becoming integral to enterprise soluti.
Demystifying Image Recognition: Dive into Deep Learning
Demystifying Image Recognition: Dive into Deep Learning
In today's data-driven world, a significant amount of data is visual. This course, Demystifying Image Recognition: Dive into Deep Learning, will equip you with the skills to recognize and classify images using neural networks.
Throughout the course, you'll gain comprehensive knowledge and.
Understanding Large Language Models in Business
Understanding Large Language Models in Business
This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners can review and acquire con.
Generative AI for Developers
Generative AI for Developers
Generative AI for Developers
Unlock the future of coding with generative AI, and excel your programming skills and deepen your understanding of AI’s transformative power. Perfect for you to integrate advanced AI tools into your workflows, with a blend of technical mastery and ethical insight, ensuring you stay at the.