PyTorch 课程
PyTorch 课程可以帮助您学习神经网络设计、模型训练和深度学习技术。您可以掌握数据预处理、超参数调优以及实现卷积和递归网络的技能。许多课程介绍了用于可视化的 TensorBoard 和用于交互式编码的 Jupyter Notebook 等工具，展示了这些技能如何应用于涉及图像识别、自然语言处理和人工智能 (AI) 其他领域的项目中。
PyTorch 热门课程和认证
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Python Programming
您将获得的技能: PyTorch (Machine Learning Library), Heat Maps, Convolutional Neural Networks, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
状态：免费试用Arizona State University
您将获得的技能: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
状态：免费DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 模型评估
您将获得的技能: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Digital Signal Processing, Image Analysis, Classification Algorithms, Model Evaluation, Deep Learning, Computer Vision, Telecommunications
您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
您将获得的技能: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
状态：免费试用您将获得的技能: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
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
状态：新状态：预览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
Google Cloud
您将获得的技能: 机器学习, 深度学习, 开发环境, 脚本, 人工神经网络, 监督学习, Google 云端平台, 张力流, 云计算
与 pytorch 相关的搜索
总之，以下是 10 最受欢迎的 pytorch 课程
- Aerial Image Segmentation with PyTorch : Coursera
- Deep Learning with PyTorch : GradCAM: Coursera
- Building and Training Neural Networks with PyTorch: Packt
- Introduction to Machine Learning with Python: Arizona State University
- 深度量化: DeepLearning.AI
- Classify Radio Signals with PyTorch: Coursera
- Fine Tune BERT for Text Classification with TensorFlow: Coursera
- Sentiment Analysis with Deep Learning using BERT: Coursera
- Applied Machine Learning with Python: Edureka
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
