神经网络课程
神经网络课程可以帮助您学习架构设计、反向传播、激活函数和优化技术的基础知识。您可以掌握训练模型、调整超参数和评估性能指标的技能。许多课程介绍了 TensorFlow 和 PyTorch 等工具，这些工具支持在图像识别、自然语言处理和预测分析等实际应用中实现神经网络。
热门神经网络课程与认证
状态：免费试用您将获得的技能: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture
状态：新状态：免费试用Coursera
您将获得的技能: Network Architecture
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science
状态：免费试用Johns Hopkins University
您将获得的技能: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing
您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming
状态：新状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture
状态：免费试用您将获得的技能: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods
Google Cloud
您将获得的技能: 计算机视觉, Google 云端平台, 人工神经网络, 云计算, 科学可视化, 数据收集, 张力流, 深度学习, 图像分析
状态：免费试用您将获得的技能: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis
状态：预览Yonsei University
您将获得的技能: 人工智能, 自然语言处理, 监督学习, 强化学习, 无监督学习, 张力流, 机器学习, 企业战略, 人工神经网络, 深度学习, 图像分析
状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability
状态：免费试用您将获得的技能: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy
与 neural networks 相关的搜索
总之，以下是 10 最受欢迎的 neural networks 课程
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- Deep Learning with PyTorch: Coursera
- Introduction to RNN and DNN: Packt
- Advanced Neural Network Techniques: Johns Hopkins University
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
- Learning Deep Learning: Unit 2: Pearson
- Natural Language Processing - Deep Learning Models in Python: Packt
- 用 TensorFlow 卷积神经网络对图像进行分类: Google Cloud
- Recommender Systems Complete Course Beginner to Advanced: Packt
- 商业深度学习: Yonsei University
