deep_learning_2_draft

The draft for Deep Learning Foundations

Module 1

1. Define a neural network.
2. Describe how a neural network works.
3. Discuss what can be done with neural networks.
4. Discuss deep networks.
5. Use a deep learning pre-trained model to classify an image.
6. Discuss Python AI Frameworks.

Module 2

1. Describe the basis of a neural network (neuron).
2. Identify and describe an artificial neuron (perceptron).
3. Discuss bias and weights.
4. Describe and identify activation functions.
5. Describe and simulate image processing in a small neural network.
6. Implement and train a perceptron using TensorFlow.

Module 3

1. Describe the purpose and process of gradient descent.
2. Discuss error loss function.
3. Describe optimizers.
4. Use a deep learning pre-trained model to perform Natural Language Processing.

Module 4

1. Describe Transfer Learning (???)