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。
University of Washington
您将获得的技能: 感官系统分析, 强化学习, 微分方程, 生理学, 机器学习算法, 人工神经网络, 数学建模, 机器学习方法, 递归神经网络 (RNN), 神经学, 电生理学, 概率分布, 应用机器学习, Matlab, 监督学习, 计算机视觉, 网络模型, 生物学, 数学软件
★ 4.6 (1142) · 初级 · 课程 · 1-3 个月

University of Pennsylvania
您将获得的技能: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Data Processing, Model Optimization, Artificial Neural Networks, Machine Learning Methods, Applied Machine Learning, Model Training, Machine Learning Algorithms, Machine Learning
★ 4.9 (8) · 中级 · 课程 · 1-4 周
CertNexus
您将获得的技能: 模型培训, 卷积神经网络, 自然语言处理, 深度学习, 分类与回归树 (CART), 计算机视觉, 监督学习, 随机森林算法, 人工智能和机器学习(AI/ML), 人工神经网络, 递归神经网络 (RNN), 预测建模, 机器学习算法, 应用机器学习, 决策树学习, 分类算法
★ 4.9 (14) · 中级 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, LLM Application, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning, Generative AI, Artificial Intelligence
★ 4.9 (7) · 中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · 中级 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · 高级设置 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
高级设置 · 课程 · 1-4 周

Sungkyunkwan University
您将获得的技能: Recurrent Neural Networks (RNNs), Image Analysis, Convolutional Neural Networks, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
★ 4.4 (40) · 初级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing
中级 · 课程 · 1-3 个月

您将获得的技能: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
初级 · 课程 · 1-4 周

您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
高级设置 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 模型培训, 数据预处理, 卷积神经网络, Keras(神经网络库), 机器学习, 微调, Model Evaluation, 模型优化, 迁移学习, 图像分析, 应用机器学习, 深度学习, 模型评估, 张力流, 计算机视觉, Transfer Learning, 分类算法
★ 4.7 (8223) · 中级 · 课程 · 1-4 周