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。

Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
攻读学位
中级 · 课程 · 1-3 个月

LearnQuest
您将获得的技能: Keras(神经网络库), 微调, 模型优化, Model Evaluation, 深度学习, 人工神经网络, 张力流, 机器学习方法, 人工智能和机器学习(AI/ML), 模型评估, Python 编程, 应用机器学习, 预测建模, Scikit Learn(机器学习库), 回归分析, 决策树学习, 随机森林算法, 分类算法
中级 · 课程 · 1-4 周

您将获得的技能: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra
中级 · 课程 · 1-3 个月

您将获得的技能: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Scientific Visualization, Applied Machine Learning, Model Training, Classification Algorithms, Predictive Modeling, Deep Learning, Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Diagnostic Tests, Python Programming
初级 · 指导项目 · 不超过 2 小时

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
中级 · 专项课程 · 1-4 周

Google Cloud
您将获得的技能: 模型培训, 数据收集, 卷积神经网络, Model Evaluation, 云计算, 科学可视化, 模型评估, 深度学习, 人工神经网络, 图像分析, Google Cloud 平台, 计算机视觉, 张力流
初级 · 项目 · 不超过 2 小时

DeepLearning.AI
您将获得的技能: 模型培训, 模型优化, Model Evaluation, 应用机器学习, 机器学习方法, 人工神经网络, 验证和确认, 调试, 张力流, 模型评估, 深度学习, 人工智能和机器学习(AI/ML), 性能调整
中级 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
初级 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Text Mining
中级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
中级 · 课程 · 1-3 个月

您将获得的技能: Plot (Graphics), Statistical Visualization, R (Software), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training
混合 · 课程 · 1-4 周