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。

您将获得的技能: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
中级 · 专项课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning
中级 · 专业证书 · 1-3 个月

Imperial College London
您将获得的技能: 衍生产品, 线性代数, 微积分, 数学建模, 回归分析, 机器学习算法, Python 编程, 人工神经网络, 高等数学
初级 · 课程 · 1-3 个月

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
初级 · 专项课程 · 3-6 个月

Packt
您将获得的技能: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
高级设置 · 专项课程 · 1-3 个月

SkillUp
您将获得的技能: Clinical Documentation, Health Informatics, AI Security, Predictive Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Medical Privacy, Large Language Modeling, ChatGPT, Logistic Regression, Computer Vision
中级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Data Ethics, Large Language Modeling, Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Machine Learning Algorithms
初级 · 课程 · 1-3 个月

Edge Impulse
您将获得的技能: 卷积神经网络, 机器学习, 深度学习, 人工智能和机器学习(AI/ML), 功能工程, 嵌入式软件, 数据预处理, 模型评估, 数据分析, 数据伦理, 模型部署, 嵌入式系统, 人工神经网络, 计算机编程, Model Evaluation, 数字信号处理, 应用机器学习
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 深度学习, 应用数学, 机器学习, 衍生产品, 数学建模, 微积分, Python 编程, 数值分析, 可视化(计算机制图), 人工神经网络
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 卷积神经网络, 深度学习, 决策树学习, 机器学习, 数据分析, 功能工程, 预测建模, 预测, 数据预处理, 放射诊断学, 模型评估, 临床试验, 统计分析, 人工智能个性化, Model Evaluation, 随机森林算法, 治疗计划, 图像分析, 应用机器学习, 风险建模, 病人治疗
中级 · 专项课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
中级 · 课程 · 1-4 周

IBM
您将获得的技能: 卷积神经网络, 计算机视觉, 深度学习, 机器学习, 迁移学习, 生成式对抗网络(GANs), 模型评估, 无监督学习, 自动编码器, 生成对抗网络 (GAN), 人工智能, 降维, 人工神经网络, Model Evaluation, Keras(神经网络库), 递归神经网络 (RNN), 强化学习, 机器学习方法, Transfer Learning
中级 · 课程 · 1-3 个月