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About Deep Learning With Tensorflow
The document outlines 10 experiments using deep learning and TensorFlow: [1] Implementing a multilayer perceptron for MNIST digit classification; [2] Designing a neural network for binary IMDB movie review classification; [3] Designing a neural network for multi-class Reuters news classification; [4] Designing a neural network for Boston housing price prediction; [5] Building a CNN for MNIST digit classification; [6] Building a CNN for image classification; [7] Using a pre-trained CNN for image classification; [8] Implementing one-hot encoding; [9] Implementing word embeddings; [10] Implementing an RNN for IMDB classification. Code snippets are provided for experiments 1, 2
Detailed Information
| Author: | ['Vennapusha Lakshmi Sai'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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