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
您将获得的技能: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Regression Analysis, Supervised Learning, Performance Tuning
状态：免费试用您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
状态：免费试用您将获得的技能: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
状态：免费试用DeepLearning.AI
您将获得的技能: 人工智能, 数据处理, 预测建模, 张力流, 放射诊断学, 概率与统计, X 射线计算机断层扫描, 计算机视觉, 机器学习, 医学影像, 磁共振成像, 自然语言处理, Keras（神经网络库）, 深度学习, 应用机器学习, 图像分析, 人工神经网络
状态：新状态：预览Simplilearn
您将获得的技能: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming
状态：免费试用CertNexus
您将获得的技能: 回归分析, 机器学习算法, 监督学习, 人工神经网络, 计算机视觉, 自然语言处理, 决策树学习, 随机森林算法, 应用机器学习, 深度学习
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing
状态：免费试用DeepLearning.AI
您将获得的技能: 大型语言模型, 监督学习, 张力流, 人工神经网络, 人工智能和机器学习（AI/ML）, 生成式人工智能, PyTorch（机器学习库）, 深度学习, 自然语言处理
状态：免费试用DeepLearning.AI
您将获得的技能: 张力流, 网络架构, 计算机视觉, 可视化（计算机制图）, 热图, 图像分析, Keras（神经网络库）, 深度学习
状态：预览Sungkyunkwan University
您将获得的技能: Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Computer Vision, Tensorflow, Machine Learning
状态：免费试用LearnQuest
您将获得的技能: 回归分析, 预测建模, 张力流, Scikit-learn （机器学习库）, 人工神经网络, 监督学习, 机器学习, 随机森林算法, Python 程序设计, Keras（神经网络库）, 深度学习, 分类与回归树 (CART)
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting
与 neural networks 相关的搜索
总之，以下是 10 最受欢迎的 neural networks 课程
- Deep Neural Network for Beginners Using Python: Packt
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- 用于医疗诊断的人工智能: DeepLearning.AI
- Introduction to CNN Training: Simplilearn
- 构建决策树、SVM 和人工神经网络: CertNexus
- RNN Architecture and Sentiment Classification: Packt
- 序列模型: DeepLearning.AI
- 利用 TensorFlow 实现高级计算机视觉: DeepLearning.AI
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
