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Intro to Deep Learning with PyTorch

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Overview

"Intro to Deep Learning with PyTorch" is a beginner-friendly course designed for aspiring data scientists, machine learning engineers, and AI enthusiasts eager to understand and implement deep learning models using PyTorch. This course provides a solid foundation in neural networks and practical hands-on experience with one of the most popular deep learning frameworks. You’ll start by exploring the fundamentals of deep learning, including artificial neurons, activation functions, and the architecture of neural networks. The course then introduces PyTorch’s core concepts such...

Syllabus

  • Introduction to Deep Learning
    • Discover the basic concepts of deep learning such as neural networks and gradient descent,Implement a neural network in NumPy and train it using gradient descent with in-class programming exercises,Build a neural network to predict student admissions
  • Introduction to PyTorch
    • Hear from Soumith Chintala, the creator of PyTorch, how the framework came to be, where its being used now, and how its changing the future of deep learning
  • Deep Learning with PyTorch
    • Build your first neural network with PyTorch to classify images of clothing,Work through a set of Jupyter Notebooks to learn the major components of PyTorch,Load a pre-trained neural network to build a state-of-the-art image classifier
  • Convolutional Neural Networks
    • Use PyTorch to build Convolutional Neural Networks for state-of-the-art computer vision applications,Train a convolutional network to classify dog breeds from images of dogs
  • Style Transfer
    • Use a pre-trained convolutional network to create new art by merging the style of one image with the content of another image,Implement the paper "A Neural Algorithm of Artistic Style by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge"
  • Recurrent Neural Networks
    • Build recurrent neural networks with PyTorch that can learn from sequential data such as natural language,Implement a network that learns from Tolstoys Anna Karenina to generate new text based on the novel
  • Natural Language Classification
    • Use PyTorch to implement a recurrent neural network that can classify text,Use your network to predict the sentiment of movie reviews
  • Deploying with PyTorch
    • Soumith Chintala teaches you how to deploy deep learning models with PyTorch,Build a chatbot and compile the network for deployment in a production environment
Intro to Deep Learning with PyTorch
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Facebook via Udacity

English

On-Demand

Intermediate

Instructor

Alexis Cook

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