Deep Learning with TensorFlow, Keras, and PyTorch
Course Report
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Course Features
Duration
7.19 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
7.19 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Machine learning or statistics
Object-oriented programming, specifically Python
Simple shell commands; eg, in Bash
What You Will Learn
Build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch
Create algorithms with state-of-the-art performance by fine-tuning model architectures
Excel across a broad range of computational problems including machine vision, natural language processing, and reinforcement learning
Self-direct and complete your own Deep Learning projects
Understand the language and theory of artificial neural networks
Target Students
Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful
Previous experience with statistics or machine learning is not necessary
Software engineers, data scientists, analysts, and statisticians with an interest in deep learning