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FreePyTorch for Deep Learning with Python Bootcamp
4.6(5,650)39k studentsALL LEVELSEnglish
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This PyTorch bootcamp pairs concepts with notebooks that explain code and theory side by side, and with slides that use visualizations to make the ideas concrete. The emphasis is on working with your own datasets rather than only watching demonstrations.
The course opens with the Python foundations deep learning depends on, including NumPy and Pandas, then moves into machine learning theory and data splits. From there it covers model evaluation for regression and classification, unsupervised tasks, tensors, and neural network theory: perceptrons, activation functions, cost functions, backpropagation and gradients.
Architectures get their own treatment, including artificial neural networks, convolutional networks and recurrent networks. The stated goal is to build models for your own problems, so the course suits people who already have a dataset in mind and want a structured way to work on it.
Welcome to the best online course for learning about Deep Learning with Python and PyTorch!
PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.
This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! When you enroll in this course you will get access to carefully laid out notebooks that explain concepts in an easy to understand manner, including both code and explanations side by side. You will also get access to our slides that explain theory through easy to understand visualizations.
In this course we will teach you everything you need to know to get started with Deep Learning with Pytorch, including:
NumPy
Pandas
Machine Learning Theory
Test/Train/Validation Data Splits
Model Evaluation - Regression and Classification Tasks
Unsupervised Learning Tasks
Tensors with PyTorch
Neural Network Theory
Perceptrons
Networks
Activation Functions
Cost/Loss Functions
Backpropagation
Gradients
Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
and much more!
By the end of this course you will be able to create a wide variety of deep learning models to solve your own problems with your own data sets.
So what are you waiting for? Enroll today and experience the true capabilities of Deep Learning with PyTorch! I'll see you inside the course!
-Jose
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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