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Learn PyTorch, earn certificates with paid and free online courses from Stanford, Johns Hopkins, Duke, Purdue University and other top universities around the world. Read reviews to decide if a class is right for you.
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Master PyTorch tensors through hands-on practice, from basic operations to advanced manipulations. Build a strong foundation in tensor operations, reshaping, and neural network processing for deep learning applications.
Master PyTorch neural networks from scratch - build, train, and evaluate models through hands-on examples covering network architecture, sequential models, training loops, and performance metrics.
Master PyTorch by building a wine classification model, from data preprocessing through model evaluation, visualization, and deployment - all using practical hands-on techniques.
Master advanced PyTorch optimization techniques including regularization, dropout, batch normalization, and learning rate scheduling to enhance model performance and prevent overfitting.
Master PyTorch fundamentals through hands-on exercises, progressing from tensor basics to advanced neural networks and model optimization techniques using real-world datasets like wine classification.
Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!
Learn PyTorch. Become a Deep Learning Engineer. Get Hired.
Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch
Learn to build and train deep neural networks using PyTorch, covering tensors, linear regression, logistic regression, CNNs, and transfer learning for practical AI applications.
Become an expert applying the most popular Deep Learning framework PyTorch
Pytorch - Introduction to deep learning neural networks : Neural network applications tutorial : AI neural network model
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