TensorFlow 课程可以帮助您学习神经网络、深度学习技术和模型部署策略。您可以掌握数据预处理、超参数调整和性能评估方面的技能。许多课程都会介绍用于构建模型的 Keras、用于可视化的 TensorBoard 等工具,以及用于将 AI 集成到应用程序中的各种 API。

您将获得的技能: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Deep Learning, Machine Learning, Model Evaluation, Mortgage Loans, Consumer Lending, Data Processing
中级 · 指导项目 · 不超过 2 小时

Google Cloud
您将获得的技能: 卷积神经网络, 迁移学习, Keras(神经网络库), 机器学习, 张力流, 应用机器学习, 深度学习, 图像分析
初级 · 项目 · 不超过 2 小时

Universidad Austral
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Preprocessing, Machine Learning Algorithms, Machine Learning
中级 · 课程 · 1-4 周

O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation
初级 · 课程 · 1-4 周

The University of Chicago
您将获得的技能: 分类算法, 数据预处理, Scikit-learn (机器学习库), 回归分析, 监督学习, 降维, 随机森林算法, 模型评估, 统计方法, 机器学习算法, Keras(神经网络库), 机器学习, Pandas(Python 软件包), 无监督学习, 应用机器学习, 深度学习, 张力流, 功能工程
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Evaluation, Data Preprocessing
高级设置 · 课程 · 1-3 个月

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: Python 程序设计, Scikit-learn (机器学习库), NumPy, Keras(神经网络库), 数据操作, 张力流, 面向对象编程(OOP), Pandas(Python 软件包), 数据可视化, Matplotlib, Seaborn
初级 · 课程 · 1-3 个月

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 专项课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
初级 · 专项课程 · 1-3 个月

IBM
您将获得的技能: Python 程序设计, 数据分析, 数据展示, Scikit-learn (机器学习库), 监督学习, Keras(神经网络库), 无监督学习, 机器学习, 回归分析, 应用机器学习, 技术交流, 人工神经网络, 探索性数据分析
高级设置 · 课程 · 1-3 个月

您将获得的技能: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy
高级设置 · 课程 · 3-6 个月