Learn deep learning with PyTorch in Codemy's free online course. Explore neural networks, tensors, CNNs, and more for a strong AI foundation.
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.
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
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Explore the following free Deep Learning courses:
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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!
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Course comments: Deep Learning With PyTorch
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