DeepLearning.AI

Нейронные сети и глубокое обучение

Искусственный Интеллект (ИИ) для всехin

Сверточные нейронные сети

Последовательные модели

Повышение эффективности глубоких нейросетей

Структурирование проектов по машинному обучению

TensorFlow を使った畳み込みニューラルネットワーク

Sequences, Time Series and Prediction

Browser-based Models with TensorFlow.js

هيكلة مشاريع التعلم الآلي

الشبكات العصبية والتعلم العميق

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

AI、機械学習、ディープラーニングのための TensorFlow 入門

Build Better Generative Adversarial Networks (GANs)

الشبكات العصبونية الالتفافية

Sequence Models

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

الذكاء الاصطناعي للجميع

Natural Language Processing with Classification and Vector Spaces

AI for Medical Prognosis

Generative Deep Learning with TensorFlow

AI For Everyone （すべての人のためのAIリテラシー講座）

Natural Language Processing with Attention Models

Data Pipelines with TensorFlow Data Services

신경망 및 딥 러닝

Améliorez les réseaux neuronaux profonds

Custom Models, Layers, and Loss Functions with TensorFlow

Convolutional Neural Networks in TensorFlow

Convolutional Neural Networks

Neuronale Netze und Deep Learning

Introduction to Machine Learning in Production

KI für alle

Machine Learning Modeling Pipelines in Production

AI For Medical Treatment

النماذج المتعاقبة

Natural Language Processing with Probabilistic Models

Natural Language Processing with Sequence Models

시퀀스 모델

L’IA pour tous

Modèles de séquence

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

Natural Language Processing in TensorFlow

Neural Networks and Deep Learning

Structurer des projets d’apprentissage automatique

Device-based Models with TensorFlow Lite

Advanced Computer Vision with TensorFlow

Advanced Deployment Scenarios with TensorFlow

Réseaux neuronaux convolutifs

Build, Train, and Deploy ML Pipelines using BERT

IA para todos

Deploying Machine Learning Models in Production

Apply Generative Adversarial Networks (GANs)

머신 러닝 프로젝트 구조화

AI For Everyone

Structuring Machine Learning Projects

컨볼루션 신경망

Build Basic Generative Adversarial Networks (GANs)

Réseaux neuronaux et Deep Learning

Analyze Datasets and Train ML Models using AutoML

Custom and Distributed Training with TensorFlow

IA para todos

심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

Machine Learning Data Lifecycle in Production

AI for Medical Diagnosis