计算神经科学课程可以帮助您学习神经建模、数据分析技术和大脑连接原理。您可以培养使用 Python 编程、统计分析以及使用机器学习算法来分析神经数据的技能。许多课程都会介绍 MATLAB 和 TensorFlow 等工具,这些工具支持模拟神经网络和分析大型数据集,使您能够在研究和实际应用中应用所学知识。

您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
初级 · 课程 · 3-6 个月

DeepLearning.AI
您将获得的技能: 机器学习, 卷积神经网络, 模型评估, 计算机视觉, 数据预处理, 人工智能, 深度学习, Keras(神经网络库), 张力流, 图像分析, 人工神经网络
中级 · 课程 · 1-4 周

Cleveland Clinic
您将获得的技能: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
初级 · 课程 · 1-4 周

Columbia University
您将获得的技能: 色彩理论, 计算机视觉, 数学建模, 估算, 医学影像, 图论, 自动化工程, 摄影, 图像质量, 降维, 计算机图形学, 无监督学习, 电子元件, 人工神经网络, 图像分析, 虚拟现实, 机器学习算法, 可视化(计算机制图), Algorithm, 三维建模
初级 · 专项课程 · 3-6 个月

Universidad Nacional Autónoma de México
您将获得的技能: Artificial Intelligence, Social Sciences, Psychology, Human Learning, Human Development, Sociology, Theoretical Computer Science, Human Factors, Human Machine Interfaces, Research, Cognitive Behavioral Therapy, Scientific Methods, Science and Research, Robotics
初级 · 课程 · 1-4 周

LearnQuest
您将获得的技能: 机器学习, 分类算法, 模型评估, 回归分析, Scikit-learn (机器学习库), 张力流, Keras(神经网络库), 深度学习, 决策树学习, 随机森林算法, 人工神经网络, Python 程序设计
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Bioinformatics, Data Storage, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Computer Security Awareness Training, Cloud Computing, Oncology
初级 · 课程 · 1-3 个月

您将获得的技能: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing
中级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
混合 · 课程 · 1-4 周

您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
初级 · 专项课程 · 3-6 个月

您将获得的技能: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
中级 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms
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中级 · 课程 · 1-4 周