您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

您将获得的技能: 概率与统计, 贝叶斯网络, 机器学习算法, 决策支持系统, 图论, 自然语言处理, Machine Learning 方法, 统计方法, 机器学习, 网络模型, Algorithm, 统计推理, 网络分析, 统计建模, 应用机器学习, 计算思维, 概率分布, 马尔可夫模型, 抽样（统计）

您将获得的技能: Python 程序设计, 数据结构, 数据操作, 软件安装, 数据处理, 数据分析, 开发环境

您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Deployment, Data Transformation, Deep Learning, Artificial Neural Networks, Application Programming Interface (API)

您将获得的技能: 机器学习算法, 线性代数, 分类算法, Algorithm, 计算机图形学, 图像分析, 计算机视觉

您将获得的技能: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment

您将获得的技能: Keras (Neural Network Library), Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Applied Machine Learning

您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

您将获得的技能: Prompt Engineering, 模型部署, 自然语言处理, 深度学习, 生成式人工智能, 大型语言模型, 生成模型架构, OpenAI, IBM 云, 拥抱的脸

您将获得的技能: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Tensorflow, Model Deployment, Generative Model Architectures, Natural Language Processing

您将获得的技能: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Recurrent Neural Networks (RNNs)