06. Pre-Notebook: Weight Initialization, Normal Distribution
Notebook: Weight Initialization
Now, you're ready to try out a weight initialization method that you define.
To open this notebook, you have two options:
- Go to the next page in the classroom (recommended).
- Clone the repo from Github and open the notebook weight_initialization_exercise.ipynb in the * weight-initialization folder. You can either download the repository with
git clone https://github.com/udacity/deep-learning-v2-pytorch.git
, or download it as an archive file from this link .
Instructions
- Load in the FashionMNIST data
- Define a function to initialize the weights of your model, taking values from a normal distribution
- See how a model without any explicit weight initialization performs
This is a self-assessed lab. If you need any help or want to check your answers, feel free to check out the solutions notebook in the same folder, or by clicking here .