Deep Learning With PyTorch - Full Course
Learners:
3
Instructor: Python Engineer
Duration: 5.00
This course provides an introduction to deep learning using PyTorch. It covers topics such as installation, tensor basics, autograd, backpropagation, gradient descent, training pipeline, linear and logistic regression, datasets and dataloaders, convolutional neural networks, recurrent neural networks, and more. It is designed to help learners understand the fundamentals of deep learning and how to apply them to real-world problems.▼
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
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Updated in [February 21st, 2023]
Deep Learning With PyTorch - Full Course is an excellent course for learners to gain a comprehensive understanding of deep learning and its applications. It covers the fundamentals of deep learning, such as installation, tensor basics, autograd, backpropagation, gradient descent, training pipeline, linear regression, logistic regression, dataset and dataloader, dataset transforms, softmax and crossentropy, activation functions, feed forward net, CNN, transfer learning, tensorboard, save & load models, and more. Learners will gain a strong foundation in deep learning and its related concepts, such as machine learning, artificial intelligence, neural networks, data science, and Python. This course is suitable for learners of all levels, from beginners to advanced, and will help them to develop their skills in deep learning and its related fields.
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