Download DeepLearning Introduction PDF Free - Full Version
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About DeepLearning Introduction
Deep learning is rising due to increased data, computation power, and algorithms. Neural networks can perform tasks like image classification. Logistic regression is used for binary classification problems by outputting a probability using the sigmoid function. The cost function measures error and is minimized with gradient descent, which computes partial derivatives to adjust weights in the correct direction. This allows neural networks to learn complex patterns from large amounts of data.
Detailed Information
| Author: | ['Heny Dave'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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