Learner Reviews & Feedback for Deep Learning with PyTorch by IBM

4.5

stars

59 ratings

About the Course

This course advances from fundamental machine learning concepts to more complex models and techniques in deep learning using PyTorch. This comprehensive course covers techniques such as Softmax regression, shallow and deep neural networks, and specialized architectures, such as convolutional neural networks. In this course, you will explore Softmax regression and understand its application in multi-class classification problems. You will learn to train a neural network model and explore Overfitting and Underfitting, multi-class neural networks, backpropagation, and vanishing gradient. You will implement Sigmoid, Tanh, and Relu activation functions in Pytorch. In addition, you will explore deep neural networks in Pytorch using nn Module list and convolution neural networks with multiple input and output channels. You will engage in hands-on exercises to understand and implement these advanced techniques effectively. In addition, at the end of the course, you will gain valuable experience in a final project on a convolutional neural network (CNN) using PyTorch. This course is suitable for all aspiring AI engineers who want to gain advanced knowledge on deep learning using PyTorch. It requires some basic knowledge of Python programming and basic mathematical concepts such as gradients and matrices....

Top reviews

Feb 8, 2025

Perfect course with the right amount of difficulty and perfect learning

Apr 7, 2025

not get the certificate I complete the total course

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1 - 15 of 15 Reviews for Deep Learning with PyTorch

By Bogdan B

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Mar 2, 2025

Poorly structured and explained. Took this course after Deep Learning with Keras and the Keras API is much easier to understand. This course is very bland and just throws a bunch of code at you. Found it difficult to get through and did noy understand much from it.

By Chakka G

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Apr 8, 2025

not get the certificate I complete the total course

By Mariano M B

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Jul 17, 2025

I liked the videos, they go through various important concepts with enough detail to understand them. I found the labs a little bit dissapointing, as all the "work" was just going thorugh the notebook running the examples already shown in the videos. Not much to practice.

By JAWAD A

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Feb 9, 2025

Perfect course with the right amount of difficulty and perfect learning

By Arash Y

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Feb 24, 2025

It was Fun Thanks for That ! Python is pure Love!

By Alima A

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Feb 12, 2025

Its amazing course

By Manvi G

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Feb 12, 2025

Amazing content!!

By Haroon

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Feb 12, 2025

Excellent course.

By lavanya s

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Feb 12, 2025

Excellent Course

By Sweta S

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Feb 12, 2025

Excellent Course

By Karen K A E

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May 30, 2025

Excelente Curso

By Sa S

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Feb 12, 2025

Awesome!

By Rajeev123 P

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Aug 29, 2025

one of the best course designed in sequence from scratch to full AI Engineer and other best thing is in this course MCQ Questions and Labs this will always force you to reminds all the things which you learnt in videos. bad thing here is it looks videos are created using AI voice feels zero imotions on voice and also missing mathematical intutions of algos ( you won't be able to understand deeps insights of algos but surely this course is enough to work on AI ML )

By David C

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Feb 28, 2025

Interesting course to learn the coding aspects of neural; however, the theoretical and mathematical component could be improved and/or corrected, for example, showing the gradient of ReLU at zero as a vertical line.