Home AI Courses Deep Learning in Healthcare

Deep Learning in Healthcare

(0 reviews)

Neural Networks in the Field of Applied Medicine. Discover the most advanced techniques in Deep Learning for Medical Applications.

Key AI Functions:Big Data,Machine Learning,Deep Learning,Health Care

Description

Reviews

Alternative Tools

Description for Deep Learning in Healthcare

Utilize actual medical data to conduct hands-on projects with autograded assignments in PyTorch and Jupyter Notebooks.

Include a variety of neural network types that are specifically designed for medicinal applications, such as RNNs and CNNs.

Teach health data analysis techniques that are specific to medical datasets, with a concentration on feature engineering and preprocessing.

Conduct practical training on the deployment of neural networks in real-world medical scenarios, with a focus on ethical and regulatory considerations.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by University of Illinois at Urbana-Champaign

Duration: 2 months at 10 hours a week

Schedule: Flexible

Reviews for Deep Learning in Healthcare

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

ML - Anomaly Detection via PyCaret

Python: AI & Development Project

AI in English Language Learning

Microsoft Azure Cognitive Services Crash Course

Alternative Tools for Deep Learning in Healthcare

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Gen AI - Art of the Possible An Intro

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Retrieval Augmented Generation (RAG) - Intro

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

Vertex AI - An Introduction

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)