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University of Toronto
您将获得的技能: 卷积神经网络, 计算机视觉, 机器人, 机器学习算法, 线性代数, 深度学习, 人工神经网络, 图像分析
状态：免费试用Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
状态：预览Edge Impulse
您将获得的技能: Python 程序设计, 卷积神经网络, 迁移学习, 计算机编程, 模型部署, 数据伦理, 数据预处理, 人工智能和机器学习（AI/ML）, 模型评估, 计算机视觉, 嵌入式系统, 应用机器学习, 机器学习, 深度学习, 人工神经网络, 图像分析
状态：新状态：预览您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
状态：新状态：免费试用Saïd Business School, University of Oxford
您将获得的技能: Responsible AI, Artificial Neural Networks, Artificial Intelligence, AI Product Strategy, Generative AI, Deep Learning, Machine Learning, Convolutional Neural Networks, Supervised Learning, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning
状态：免费试用DeepLearning.AI
您将获得的技能: Python 程序设计, 分类算法, Scikit-learn （机器学习库）, NumPy, 人工智能, 监督学习, 模型评估, 预测建模, 数据预处理, 无监督学习, 逻辑回归, Jupyter, 回归分析, 机器学习, 功能工程
状态：免费试用您将获得的技能: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing
状态：预览MathWorks
您将获得的技能: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations
状态：免费试用Imperial College London
您将获得的技能: 卷积神经网络, 模型部署, 迁移学习, 数据预处理, 监督学习, 计算机视觉, Keras（神经网络库）, 模型评估, 深度学习, 张力流, 人工神经网络, 图像分析
状态：免费试用New York Institute of Finance
您将获得的技能: 风险管理, 金融交易, 投资组合风险, 人工智能和机器学习（AI/ML）, 强化学习, 投资组合管理, 马尔可夫模型, 时间序列分析和预测, 应用机器学习, 递归神经网络 (RNN), 金融市场, 深度学习, 人工神经网络
状态：免费试用DeepLearning.AI
您将获得的技能: 模型部署, 迁移学习, 模型评估, 信息隐私, 应用编程接口 (API), 机器学习, 数据可视化, 联合学习, 张力流, 人工神经网络
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 负责任的人工智能, 机器人, 风险缓解, 自然语言处理, 业务逻辑
总之，以下是 10 最受欢迎的 neural networks 课程
- 自动驾驶汽车的视觉感知: University of Toronto
- Applied Machine Learning: Johns Hopkins University
- 计算机视觉与嵌入式机器学习: Edge Impulse
- AI & Machine Learning: Apply, Build & Solve: EDUCBA
- AI Essentials : Saïd Business School, University of Oxford
- 监督式机器学习：回归与分类: DeepLearning.AI
- PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
- Reinforcement Learning: MathWorks
- 开始使用 TensorFlow 2: Imperial College London
- 交易策略的强化学习: New York Institute of Finance
