# Neural Networks For Your Dog - 3.4 Multiclass Support
## 3.4 Multiclass Support
In this lecture, we'll use [softmax](https://en.wikipedia.org/wiki/Softmax_function) and [cross entropy](https://en.wikipedia.org/wiki/Cross_entropy) to turn our binary neural network classifier into a multiclass classifier.
## Code
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## Course Curriculum
([See the code on GitHub](https://github.com/ben519/nnets-for-your-dog))
1. **Introduction**
[1.1 Introduction](/blog/neural-networks-for-your-dog-1-1-introduction)
2. **Perceptron**
[2.1 MNIST Dataset](/blog/neural-networks-for-your-dog-2-1-mnist_dataset)
[2.2 Perceptron Model](/blog/neural-networks-for-your-dog-2-2-perceptron-model)
[2.3 Perceptron Learning Algorithm](/blog/neural-networks-for-your-dog-2-3-perceptron-learning-algorithm)
[2.4 Pocket Algorithm](/blog/neural-networks-for-your-dog-2-4-pocket-algorithm)
[2.5 Multiclass Support](/blog/neural-networks-for-your-dog-2-5-multiclass-support)
[2.6 Perceptron To Neural Network](/blog/neural-networks-for-your-dog-2-6-perceptron-to-neural-network)
3. **Neural Network**
[3.1 Simple Images](/blog/neural-networks-for-your-dog-3-1-simple-images)
[3.2 Random Weights](/blog/neural-networks-for-your-dog-3-2-random-weights)
[3.3 Gradient Descent](/blog/neural-networks-for-your-dog-3-3-gradient-descent)
[3.4 Multiclass Support](/blog/neural-networks-for-your-dog-3-4-multiclass-support)
[3.5 Deep Learning](/blog/neural-networks-for-your-dog-3-5-deep-learning)
[3.6 Stochastic Gradient Descent](/blog/neural-networks-for-your-dog-3-6-stochastic-gradient-descent)
[3.7 Going Further](/blog/neural-networks-for-your-dog-3-7-going-further)
## Additional Content
1. [Python NumPy For Your Grandma](/blog/python-numpy-for-your-grandma)
2. [Python Pandas For Your Grandpa](/blog/python-pandas-for-your-grandpa)
3. [Introduction To Google Colab](https://youtu.be/SUCRr56Jzkw)