个结果，搜索词为 "artificial neural networks"
Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning
DeepLearning.AI
您将获得的技能: 人工智能, Python 编程, 机器学习方法, 递归神经网络 (RNN), 模型优化, 卷积神经网络, 监督学习, 人工神经网络, 深度学习, 应用机器学习, 模型培训
您将获得的技能: 逻辑回归, 回归分析, 数据处理, 概率与统计, 统计方法, 模型优化, 人工神经网络, PyTorch（机器学习库）, 应用机器学习, 模型评估, Model Evaluation, 模型培训, 张力流, 预测建模
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
您将获得的技能: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
是什么让您今天来到 Coursera？
您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation
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
Johns Hopkins University
您将获得的技能: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Algorithms
Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation
总之，以下是 10 最受欢迎的 artificial neural networks 课程
- Foundations of Neural Networks: Johns Hopkins University
- 神经网络与深度学习: DeepLearning.AI
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- 神经网络和 PyTorch 简介: IBM
- Start Neural Networks Advanced Model Architectures: Coursera
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Neural Networks and Computer Vision Foundations: Edureka
- Introduction to Neural Networks: Johns Hopkins University
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
