putting the fixed links
@@ -170,6 +170,12 @@ Finally, add the output layer:
* [Import and export deep learning models with ONNX](https://www.youtube.com/watch?v=RJ0gbsB7d_8&start=627)
* [Text classification and text generation using RNNs](https://www.youtube.com/watch?v=RJ0gbsB7d_8&start=943)
* [Time series forecasting using RNNs](https://www.youtube.com/watch?v=RJ0gbsB7d_8&start=1185)
+ * DLPy v1.1 examples:
+ * [Leverage Functional APIs to Build Complex Models](ttps://www.youtube.com/watch?v=guCDi2C-mNQ&t=115s)
+ * [Image Segmentation with U-Net](https://www.youtube.com/watch?v=guCDi2C-mNQ&t=399s)
+ * [Object Detection with Faster-RCNN](https://www.youtube.com/watch?v=guCDi2C-mNQ&t=688s)
+ * [Image Classification with ShuffleNet and MobileNet](https://www.youtube.com/watch?v=guCDi2C-mNQ&t=1158s)
+ * [Multi-class Deep learning](https://www.youtube.com/watch?v=guCDi2C-mNQ&t=1648s)
- [SAS Deep Learning with Python made easy using DLPy](https://blogs.sas.com/content/subconsciousmusings/2019/03/13/sas-deep-learning-with-python-made-easy-using-dlpy/)
### Contributing
