Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network,以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能,这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具,让您可以实现算法和优化模型,使您的学习体验与当前的行业实践密切相关。

DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 深度学习, 微积分, 衍生产品, 人工神经网络, Python 程序设计, 可视化(计算机制图), 机器学习算法, 数值分析
中级 · 课程 · 1-4 周

您将获得的技能: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
中级 · 课程 · 1-3 个月

Intel
您将获得的技能: 卷积神经网络, 计算机视觉, 深度学习, Transfer Learning, 递归神经网络 (RNN), 人工神经网络, 自然语言处理, 生成对抗网络 (GAN), 可扩展性, 性能调整, Machine Learning 方法, 强化学习
中级 · 课程 · 1-3 个月

University of Illinois Urbana-Champaign
您将获得的技能: 无监督学习, 深度学习, 人工神经网络, 卷积神经网络, 健康信息学, 医学影像, 嵌入, 递归神经网络 (RNN), Python 程序设计, 应用机器学习, 模型部署, 图像分析, Model Evaluation, 预测建模, 自动编码器, 降维
高级设置 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 机器学习, 深度学习, 数据预处理, 放射诊断学, 卷积神经网络, 人工智能, 磁共振成像, 统计机器学习, 医学影像, 自然语言处理, 张力流, 预测建模, 应用机器学习, Model Evaluation, 风险模型, Machine Learning 方法, 图像分析, 医学科学与研究, 概率与统计
中级 · 课程 · 1-4 周

您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
混合 · 课程 · 1-4 周

Pearson
您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
中级 · 课程 · 1-4 周

您将获得的技能: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
高级设置 · 课程 · 1-3 个月

您将获得的技能: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
中级 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning
中级 · 课程 · 3-6 个月
University of Glasgow
您将获得的技能: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
中级 · 课程 · 1-4 周