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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【Other Publication Contents (Excerpt)】 ■Example 2: Transfer Learning 1. Importing a pre-trained network 2. Setting up the network for a new task 3. Training the network with new data 4. Evaluating the network ■Non-image data ■LSTM Architecture ■Use of spectrograms for speech recognition, etc. *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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MathWorks is a leading company in numerical analysis software for engineers and researchers. Engineers and scientists around the world use MathWorks products as tools to accelerate discovery, innovation, and development. Please feel free to contact us if you have any inquiries.