Free online courseDeep Learning With PyTorch

Duration of the online course: 3 hours and 39 minutes

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Learn deep learning with PyTorch in Codemy's free online course. Explore neural networks, tensors, CNNs, and more for a strong AI foundation.

Course Description

Dive into the world of deep learning with Codemy's comprehensive course, Deep Learning With PyTorch. As a premier introduction to artificial intelligence, this course guides you through the essentials of using PyTorch, an open-source machine learning library. Embark on your deep learning journey with an immersive exploration of PyTorch and unlock powerful capabilities for handling deep learning tasks.

Begin your adventure with an overview of deep learning concepts, ensuring a solid foundation before delving into PyTorch's tensor functionalities. Master tensor operations, reshaping, slicing, and mathematical transformations that form the basis for building efficient neural networks.

From creating a basic neural network model to loading data and training your model, gain hands-on experience and set the stage for evaluating real-world data. Learn to leverage the power of evaluation techniques for test datasets and apply the network to new data scenarios.

Further your skills with modules on saving and loading neural network models, essential for real-world applications. Transition into more advanced topics by exploring convolutional neural networks (CNNs), pivotal in tasks such as image recognition and processing. Understand convolutional layers, RGB integration, and pooling layers within CNNs, vital for optimizing neural network performance.

The course emphasizes the practical implementation of concepts, demonstrated through the import of MNIST images and the development of a robust CNN model that is trained and tested. Visualize your results with sophisticated graphing techniques, culminating in the capability to send new images through your trained models and enhance CNN analysis.

Whether you're a novice stepping into artificial intelligence or an IT professional seeking to expand your expertise, this engaging online course provides valuable insights and skills crucial for career development in the tech industry. Immerse yourself in the nuances of PyTorch, from basic neural networks to convolutions, and prepare to harness the transformative power of deep learning.

Course content

  • Video class: Intro To Deep Learning With PyTorch - Deep Learning with Pytorch 1

    0h17m

  • Video class: Tensors With PyTorch - Deep Learning with PyTorch 2

    0h10m

  • Video class: Tensor Operations - Reshape and Slice - Deep Learning with PyTorch 3

    0h11m

  • Video class: Tensor Math Operations - Deep Learning with PyTorch 4

    0h12m

  • Video class: Create a Basic Neural Network Model - Deep Learning with PyTorch 5

    0h15m

  • Video class: Load Data and Train Neural Network Model - Deep Learning with PyTorch 6

    0h22m

  • Video class: Evaluate Test Data Set On Network - Deep Learning with PyTorch 7

    0h11m

  • Video class: Evaluate NEW Data On The Network - Deep Learning with PyTorch 8

    0h05m

  • Video class: Save and Load our Neural Network Model - Deep Learning with PyTorch 9

    0h04m

  • Video class: Convolutional Neural Network Intro - Deep Learning with PyTorch 10

    0h07m

  • Video class: Image Filter / Image Kernel Overview - Deep Learning with PyTorch 11

    0h10m

  • Video class: Convolutional Layer and RGB - Deep Learning with PyTorch 12

    0h10m

  • Video class: Pooling Layer in Convolutional Neural Network - Deep Learning with PyTorch 13

    0h06m

  • Video class: Import MNIST Images - Deep Learning with PyTorch 14

    0h11m

  • Video class: Convolutional and Pooling Layers - Deep Learning with PyTorch 15

    0h18m

  • Video class: Convolutional Neural Network Model - Deep Learning with PyTorch 16

    0h12m

  • Video class: Train and Test CNN Model - Deep Learning with PyTorch 17

    0h16m

  • Video class: Graph CNN Results - Deep Learning with PyTorch 18

    0h08m

  • Video class: Send New Image Thru The Model - Deep Learning with PyTorch 19

    0h05m

Python

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Machine learning

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  • Deep Learning Specialization by Andrew Ng - Offered by Coursera, this comprehensive specialization covers neural networks, machine learning, and deep learning fundamentals. It includes hands-on projects to apply your knowledge.
  • Introduction to Deep Learning with Python - This course by DataCamp introduces you to the basics of Deep Learning using Python and the popular Keras library. It covers essential concepts and practical implementations.
  • Deep Learning for Computer Vision - Provided by Udacity, this course focuses on applying Deep Learning techniques to computer vision tasks. You'll learn about convolutional neural networks (CNNs) and their applications.
  • Practical Deep Learning for Coders - Offered by Fast.ai, this course is designed for coders who want to get hands-on experience with Deep Learning. It covers practical applications and includes numerous coding exercises.
  • Deep Learning with TensorFlow - This free course by Google provides an in-depth understanding of TensorFlow, an open-source library for Deep Learning. You'll learn how to build and train neural networks using TensorFlow.
  • Neural Networks and Deep Learning - A part of the Deep Learning Specialization on Coursera, this course covers the basics of neural networks and their applications. It's a great starting point for anyone new to Deep Learning.
  • Deep Reinforcement Learning - Offered by Udacity, this course delves into the intersection of Deep Learning and reinforcement learning. You'll learn how to build intelligent agents that can make decisions in complex environments.
  • Deep Learning for Natural Language Processing - This course by Stanford University covers the use of Deep Learning techniques in natural language processing (NLP). You'll explore recurrent neural networks (RNNs) and other NLP-specific models.
  • Deep Learning with PyTorch - Provided by Udacity, this course introduces you to PyTorch, a popular Deep Learning framework. You'll learn how to build and train neural networks using PyTorch.
  • Advanced Deep Learning with Keras - This course by DataCamp is for those who already have a basic understanding of Deep Learning and want to delve deeper into advanced topics using the Keras library.

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Don't forget to bookmark this page and share it with others interested in Artificial Intelligence and Deep Learning. Happy learning!

This free course includes:

3 hours and 39 minutes of online video course

Exercises to train your knowledge

Certificate of course completion

100% free, from content to certificate

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Course comments: Deep Learning With PyTorch

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Muhammad Yasir

The PyTorch course was clear, practical, and well paced, helping me gain real skills in deep learning. However, I still haven’t received the certifica

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