Coursera MOOC / Non-credit 0

Deep Learning with PyTorch

Name: Deep Learning with PyTorch
Price: 49 USD
Availability: InStock

About this course

This course offers a comprehensive and practical introduction to deep learning using PyTorch, a leading open-source framework. Learners will develop a solid understanding of foundational concepts such as neural networks, activation functions, forward and backward propagation, and optimization algorithms. Through a structured progression, the course covers essential architectures including perceptrons, multi-layer networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM) models, and Transformers. Learners will apply these models to real-world tasks in computer vision and natural language processing, gaining experience in training, evaluating, and optimizing deep learning systems. Advanced topics such as transfer learning, regularization, batch normalization, mixed precision training, attention mechanisms, and model pruning are also explored to help learners build models that are both accurate and efficient. By the end of the course, participants will be equipped with the skills and tools necessary to design and implement deep learning solutions in PyTorch for a wide range of practical applications.

63/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understanding of neural networks
knowledge of activation functions
ability to implement forward and backward propagation
familiarity with optimization algorithms
experience with various deep learning architectures
skills to apply deep learning models to real-world tasks

Course objectives

to equip learners with foundational deep learning concepts
to provide practical experience in using PyTorch
to prepare students for developing and optimizing deep learning solutions

Deep Learning #deep learning #transfer learning #computer vision #transformers #natural language processing #pytorch #optimization #neural networks #regularization #cnn #lstm #rnn #batch normalization #mixed precision training

$49.00

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