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Learner Reviews & Feedback for Deep Learning with Keras and Tensorflow by IBM

4.4

stars

871 ratings

About the Course

Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In addition, Keras, a high-level neural networks API written in Python, has become an essential part of TensorFlow, making deep learning accessible and straightforward. Mastering these techniques will open many opportunities in research and industry. You will learn to create custom layers and models in Keras and integrate Keras with TensorFlow 2.x for enhanced functionality. You will develop advanced convolutional neural networks (CNNs) using Keras. You will also build transformer models for sequential data and time series using TensorFlow with Keras. The course also covers the principles of unsupervised learning in Keras and TensorFlow for model optimization and custom training loops. Finally, you will develop and train deep Q-networks (DQNs) with Keras for reinforcement learning tasks (an overview of Generative Modeling and Reinforcement Learning is provided). You will be able to practice the concepts learned using hands-on labs in each lesson. A culminating final project in the last module will provide you an opportunity to apply your knowledge to build a Classification Model using transfer learning. This course is suitable for all aspiring AI engineers who want to learn TensorFlow and Keras. It requires a working knowledge of Python programming and basic mathematical concepts such as gradients and matrices, as well as fundamentals of Deep Learning using Keras....

Top reviews

Jul 2, 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

May 26, 2020

Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it

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176 - 182 of 182 Reviews for Deep Learning with Keras and Tensorflow

By Huang-Hsiang L

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Sep 12, 2021

The lecture is very horrible and you almost need to learn all the details about tensorflow by yourself, which does not make sense. The lecture should explain those details in a clear and easy-to-understand way so that student can benefit.

By Yu C

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Oct 19, 2023

Terrible. The codes cannot be executed because of tons of error that even as an advanced programmer, I cannot deal with easily. This course has terrible quality and for the sake of IBM's reputation, this course should really be removed

By Anas O

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Jun 2, 2020

the labs are based on an outdated tensorflow version, also, the instructor is not Alex Akilson as it is mentioned in the course info.

By Martin B

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Jun 13, 2020

All the code in the course is obsolete using an old version of TF. The course does not have a project nor a final assignment.

By Sumika M

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Mar 1, 2022

Very badly designed. Code written in the labs is very hard to understand

By Victorita R

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Apr 22, 2024

waited a week for the labs to show as completed. pathetic

By Haimanot B

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Oct 28, 2022

I get some basic Idea about deep learning