筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“neural network” 的结果
- 状态:新状态:免费试用
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
- 状态:免费试用
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
- 状态:免费试用
University of Illinois Urbana-Champaign
您将获得的技能: 机器学习, 张力流, 无监督学习, Machine Learning 方法, 监督学习, 图论, 计算机视觉, 健康信息学, 人工神经网络, 计划发展, 医学科学与研究, 预测建模, 生成模型架构, PyTorch(机器学习库), 应用机器学习, 人工智能和机器学习(AI/ML), 医疗保健, 大数据, 图像分析, 深度学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 数据伦理, 无监督学习, 信息隐私, 负责任的人工智能, 计算机视觉, 人工神经网络, PyTorch(机器学习库), 生成模型架构, 数据综合, 生成式人工智能, 图像分析, 性能测试, 图像质量, 深度学习
- 状态:免费试用
您将获得的技能: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
- 状态:新状态:预览
Simplilearn
您将获得的技能: Image Analysis, Keras (Neural Network Library), Computer Vision, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, PyTorch (Machine Learning Library), Python Programming
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 概率与统计, Algorithm, 线性代数, 人工智能, Machine Learning 方法, 监督学习, 张力流, 人工智能和机器学习(AI/ML), 文本挖掘, 机器学习算法, 人工神经网络, 降维, 数据处理, 功能工程, 马尔可夫模型, 非结构化数据, 自然语言处理, PyTorch(机器学习库), Keras(神经网络库), 深度学习
- 状态:新状态:免费试用
Coursera
您将获得的技能: Network Architecture
- 状态:新状态:免费试用
您将获得的技能: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 张力流, 人工神经网络, 人工智能和机器学习(AI/ML), 文本挖掘, 应用机器学习, 生成式人工智能, 自然语言处理, 深度学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 机器学习, 张力流, 计算机视觉, 人工神经网络, 监督学习, 预测建模, 数据处理, 应用机器学习, Keras(神经网络库), 图像分析, 深度学习
- 状态:免费试用
Simplilearn
您将获得的技能: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
总之,以下是 10 最受欢迎的 neural network 课程
- Learning Deep Learning: Unit 3: Pearson
- AI ML with Deep Learning and Supervised Models: Simplilearn
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- 生成对抗网络 (GAN): DeepLearning.AI
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Introduction to CNN Training: Simplilearn
- 自然语言处理: DeepLearning.AI
- Deep Learning with PyTorch: Coursera
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- TensorFlow 中的自然语言处理: DeepLearning.AI