📊Data ScienceEN

Introduction to Deep Learning

A comprehensive introduction to deep learning covering neural network fundamentals, PyTorch, CNNs, RNNs, transfer learning, generative models, regularisation, deployment, and ethics with hands-on Python code examples throughout.

10 lessons

100 questions

2 hrs 30 mins

Part of a Learning Path: Data Science & Machine Learning

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What you'll cover

What is Deep Learning
Neural Network Fundamentals
Building Networks with PyTorch
Convolutional Neural Networks
Recurrent Neural Networks
Transfer Learning

Lessons

What is Deep LearningPreview

Neural Network Fundamentals

Building Networks with PyTorch

Convolutional Neural Networks

Recurrent Neural Networks

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