Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library. You'll then apply them to build Neural Networks and Deep Learning models.
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What you need before starting this Deep Learning with Python and PyTorch course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
The course will teach you how to develop Deep Learning models using Pytorch while providing the necessary deep-learning background.We'll start off with PyTorch's tensors and its Automatic Differentiation package. Then we'll cover different Deep Learning models in each section, beginning with fundamentals such as Linear Regression and logistic/softmax regression.We'll then move on to Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers.In the final part of the course, we'll focus on Convolutional Neural Networks and Transfer Learning (pre-trained models). Several other Deep Learning methods will also be covered.
Difficulty Level
Intermediate
Some foundational knowledge required
Subject Category
Data Analysis & Statistics, Computer Science, Engineering
Part of our Data Analysis & Statistics, Computer Science, Engineering curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Professional Course
Investment around $99
Pricing may vary. Check the course provider for current promotions and exact pricing.
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