What's the use of deepseek for ordinary people?

1. Introduction

Deep learning is a branch of machine learning that attempts to use computational models containing multiple processing layers to learn multi-level representations of data.

1.1 Core Concepts

  • Neural Networks
  • Backpropagation
  • Gradient Descent
  • Activation Functions

2. Code Examples

Python Example

import tensorflow as tf

# Create a simple neural network
model = tf.keras.Sequential([
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dropout(0.2),
    tf.keras.layers.Dense(10, activation='softmax')
])

Model Training Parameters Table

Parameter Name Description Default Value
learning_rate Learning Rate 0.001
batch_size Batch Size 32
epochs Number of Epochs 10

Note: Before starting deep learning, ensure you have the necessary mathematical and programming foundation.

Code Block Example

# Install dependencies
pip install tensorflow
pip install torch

Bold Text and Italic Text