ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
Develop and evaluate a neural network that can identify handwritten numerals, implement One Hot Encoding for classification, and evaluate the efficacy of the model through practical exercises.
Description for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
Features of Course
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 2 hours
Schedule: Hands-on learning
Pricing for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
Use Cases for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
FAQs for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
Reviews for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for ML: Predict Numbers from Handwritten Digits using a Neural Network, Keras, & R
Browse AI is an advanced tool for automating data extraction and monitoring from websites, empowering users with no-coding solutions and intuitive features for efficient data management.
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.
DataChat AI is a cloud-based platform integrating generative AI to simplify data science tasks, featuring a natural language interface and collaborative capabilities, ideal for users with limited coding skills.
An AI-driven tool simplifies legal documents by extracting key terms, providing immediate interpretation of legal jargon, offering a clarification database, and integrating advanced NLP techniques.
Elliott, powered by AI, generates SEO-optimized product descriptions for Shopify stores and offers valuable retail analytics insights.
Breadcrumb.ai swiftly converts data into interactive presentations, reports, and interfaces, leveraging AI for intuitive insights exploration and seamless integration with various data sources, facilitating quick decision-making.
Lychee, powered by AI, swiftly generates diagrams from spreadsheets, offering users a streamlined experience without the need for coding expertise, making it ideal for those seeking immediate and straightforward data visualization solutions.
Hostcomm CXCortex offers AI-powered quality assurance and CX analytics solutions, leveraging data-driven segmentation and real-time insights to enhance consumer experiences and drive revenue growth for enterprises.
MOSTLY AI's Synthetic Data Platform offers a robust solution for generating privacy-safe synthetic datasets that preserve the structure and statistical characteristics of authentic data, enhancing adaptability and versatility for various applications.
Accio.ai is an AI data exploration tool that centralizes data warehouses, dynamically generates SQL queries, ensures data consistency, and provides an intuitive interface for data exploration, enhancing comprehension and efficiency in data analysis.
Featured Tools
Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.
The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.
Learn to create responsive websites using HTML, CSS, JavaScript, and React, utilize the Bootstrap framework, collaborate with GitHub, and prepare for coding interviews with portfolio-ready projects.
Leverage Python programming skills to develop and analyze comprehensive clustering procedures, thereby mastering the fundamental concepts and operations of data clustering, with a particular emphasis on the K-means algorithm.
Gain essential skills in Probability Theory for managing uncertainty, structured into five modules with practical exercises, covering topics like Probability, Conditional Probability, and offering an engaging online learning experience.