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: 概率分布, 机器学习方法, 人工神经网络, 监督学习, 生物学, 数学建模, 电生理学, 强化学习, 微分方程, 数学软件, 网络模型, 计算机视觉, 感官系统分析, 应用机器学习, 机器学习算法, 生理学, Matlab, 神经学, 递归神经网络 (RNN)
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
中级 · 课程 · 1-4 周

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
攻读学位
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
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
高级设置 · 课程 · 1-4 周
CertNexus
您将获得的技能: 卷积神经网络, 人工神经网络, 监督学习, 决策树学习, 分类算法, 随机森林算法, 计算机视觉, 自然语言处理, 深度学习, 应用机器学习, 机器学习算法, 预测建模, 人工智能和机器学习(AI/ML), 递归神经网络 (RNN), 分类与回归树 (CART), 模型培训
中级 · 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: 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
初级 · 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: 卷积神经网络, 分类算法, 图像分析, 张力流, 机器学习, 数据预处理, 模型评估, 深度学习, 计算机视觉, 迁移学习, 应用机器学习, Keras(神经网络库), Transfer Learning, Model Evaluation, 模型优化, 模型培训, 微调
中级 · 课程 · 1-4 周