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探索循环神经网络课程目录
- 状态:免费试用
您将获得的技能: 网络架构, 回归分析, 自然语言处理, 机器学习算法, 人工神经网络, 计算机视觉, PyTorch(机器学习库), Keras(神经网络库), 机器学习, 图像分析, 张力流, 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: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning
- 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:新状态:免费试用
您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 数据伦理, 数据综合, 图像质量, 计算机视觉, 人工神经网络, PyTorch(机器学习库), 生成模型架构, 生成式人工智能, 机器学习, 信息隐私, 无监督学习, 图像分析, 性能测试, 负责任的人工智能, 深度学习
- 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
您将获得的技能: 回归分析, 数据操作, 预测建模, 人工神经网络, PyTorch(机器学习库), 概率与统计, 机器学习, 张力流, 深度学习
- 状态:新状态:预览
您将获得的技能: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
- 状态:免费试用
您将获得的技能: 网络架构, 监督学习, 计算机视觉, 人工神经网络, 机器学习, PyTorch(机器学习库), 深度学习
- 状态:免费试用
DeepLearning.AI
您将获得的技能: Python 程序设计, 微积分, 线性代数, 人工智能, 监督学习, 人工神经网络, 机器学习, 深度学习
- 状态:免费试用
您将获得的技能: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, 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, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning
总之,以下是 10 最受欢迎的 recurrent neural network 课程
- 使用 Keras 的深度学习和神经网络简介: IBM
- Deep Learning with PyTorch: Coursera
- Introduction to Transformer Models for NLP: Unit 1: Pearson
- Learning Deep Learning: Unit 3: Pearson
- Learning Deep Learning: Unit 1: Pearson
- 生成对抗网络 (GAN): DeepLearning.AI
- AI ML with Deep Learning and Supervised Models: Simplilearn
- 神经网络和 PyTorch 简介: IBM
- Deep Learning with R: Build & Predict Neural Networks: EDUCBA
- 使用 PyTorch 进行深度学习: IBM