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Practical Guide to Deep Learning with MATLAB Learned Through Samples

A sequel to "Deep Learning with MATLAB"! This will explain practical techniques for deep learning.

This ebook is a sequel to "What is Deep Learning?" which provides an overview of deep learning. This time, we will explain practical methods for deep learning. "MATLAB" offers tools and functions for managing data, labeling, monitoring learning progress, and visualizing results, making it easy to perform time-consuming and complex tasks involved in deep learning. [Contents] ■ Introduction ■ Practical Example 1: Training a model from scratch ■ Practical Example 2: Transfer learning ■ Practical Example 3: Semantic segmentation ■ Data other than images *For more details, please refer to the PDF document or feel free to contact us.

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Practical Guide to Deep Learning with MATLAB Learned Through Samples

Learn practical methods step by step!

In this ebook, we will introduce essential trial-and-error methods for achieving a recognition accuracy of 99% in image classification through neural network training. Why not start with deep learning using a simple sample? 【Contents (excerpt)】 ■ Introduction ■ Practical Example 1: Training a model from scratch  1. Accessing the data  2. Creating and configuring network layers  3. Training the network  4. Verifying the network's accuracy, etc. *For more details, please refer to the PDF document or feel free to contact us.

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