神经网络
神经元网络知识库可以帮助您了解如何建立、训练和优化模型。您可以在建筑设计、数据挖掘、培训技术和模型评估等方面有所建树。许多课程都有 KI-Praxis 框架和要点。
令人信服的神经网络工具和证书
状态：免费试用DeepLearning.AI
您将获得的技能: 负责任的人工智能, 无监督学习, 人工神经网络, 卷积神经网络, 生成对抗网络 (GAN), 生成模型架构, PyTorch（机器学习库）, 数据伦理, 深度学习, 图像分析
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
状态：免费试用您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
状态：新状态：预览Northeastern University
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
状态：免费试用您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, Scikit-learn （机器学习库）, 张力流, 决策树学习, 机器学习, 人工神经网络, Keras（神经网络库）, 回归分析, 分类算法, 随机森林算法, 模型评估, 深度学习
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
状态：新状态：预览Simplilearn
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
状态：预览Intel
您将获得的技能: 可扩展性, Machine Learning 方法, 迁移学习, 生成对抗网络 (GAN), 递归神经网络 (RNN), 人工神经网络, 卷积神经网络, 自然语言处理, 计算机视觉, 性能调整, 强化学习, 深度学习
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 机器学习, Keras（神经网络库）, 迁移学习, 分类算法, 数据预处理, 应用机器学习, 计算机视觉, 卷积神经网络, 深度学习, 模型评估, 图像分析
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, AI 个性化服务, 机器学习, 健康信息学, 临床试验, 数据分析, 医学术语, 应用机器学习, 自然语言处理, 病人治疗, 深度学习, 文本挖掘, 模型评估, 治疗计划
总之，以下是 10 最受欢迎的 neural network 课程
- 构建基本的生成对抗网络 (GAN): DeepLearning.AI
- Basic Image Classification with TensorFlow: Coursera
- Deep Learning - Artificial Neural Networks with TensorFlow: Packt
- Applied Natural Language Processing in Engineering Part 2: Northeastern University
- Introduction to RNN and DNN: Packt
- 神经网络和随机森林: LearnQuest
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- Introduction to CNN Training: Simplilearn
- Natural Language Processing - Deep Learning Models in Python: Packt
- 实用深度学习入门: Intel
