Skip to content

Update vae-talk.ipynb #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Update vae-talk.ipynb #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions vae-talk.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"What are autoecnoders?\n",
"What are autoencoders?\n",
"![title](img/autoencoder_schema.jpg)\n",
"\"Autoencoding\" is a data compression algorithm where the compression and decompression functions are 1) data-specific, 2) lossy, and 3) learned automatically from examples rather than engineered by a human. Additionally, in almost all contexts where the term \"autoencoder\" is used, the compression and decompression functions are implemented with neural networks."
]
Expand Down Expand Up @@ -57,7 +57,7 @@
"1. data denoising, \n",
"2. non linear dimensionality reduction for data visualization. With appropriate dimensionality and sparsity constraints,autoencoders can learn data projections that are more interesting than PCA or other basic techniques.\n",
"3. Reinforcement Learning\n",
"4. Seemi-Supervised Learning, we have lots of unlabeled data and some labeled data. "
"4. Semi-Supervised Learning, we have lots of unlabeled data and some labeled data. "
]
},
{
Expand Down