Главная
Study mode:
on
1
- Introduction
2
- How a Neural Network Works
3
- Loading & Looking at Data
4
- Building Our First Model
5
- Making Predictions
6
- Text Classification with Movie Reviews
7
- Embedding Layer Explanation
8
- Global Average Pooling Layer
9
- Training the Text Classification Model
10
- Saving & Loading a Model
Description:
Dive into a comprehensive 2-hour crash course on neural networks and the TensorFlow Python library. Learn the fundamentals of how neural networks function, explore data loading and analysis techniques, and build your first model. Discover the process of making predictions and delve into text classification using movie reviews. Gain insights into embedding layers, global average pooling, and model training. Master the skills of saving and loading models. Access additional text-based tutorials and follow along with TensorFlow guides for a deeper understanding of classification and text classification techniques.

Neural Networks and TensorFlow Crash Course

Traversy Media
Add to list
0:00 / 0:00