-
Please add the new working link.
Robotics and Control:
1. [Introduction to Vision and Robotics 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ivr.htm)
2. [Roboti…
-
https://www.coursera.org/learn/ibm-unsupervised-machine-learning
https://www.datacamp.com/courses/unsupervised-learning-in-python
Maybe look deeper into deeplearning.ai courses such as deep learni…
-
```
$ git clone https://github.com/abdur75648/Deep-Learning-Specialization-Coursera.git
Cloning into 'Deep-Learning-Specialization-Coursera'...
remote: Enumerating objects: 1028, done.
remote: Cou…
-
### Subject of the issue
The `--download-notebooks` option makes coursera-dl throws an exception
### Your environment
* Operating System (name/version): Windows 10 Educational
* Python version: …
ghost updated
3 years ago
-
# Neural Networks and Deep Learning | Jinjun's Notes
This chapter is a notebook for coursera course Neural Networks and Deep Learning by Andrew Ng.
Table of Contents:
Introduction to Deep Learning N…
-
### Subject of the issue
With some of my Coursera courses, the syllabus is not downloaded completely when it is parsed. Some of the later lectures emit non-fatal error such as:
```
Error 400 Client…
-
### Not able to download the coursera-material
Receiving the following error while downloading the course material:
"coursera.cookies.AuthenticationFailed: Cannot login on coursera.org: 400 Client…
-
# Maximum Likelihood Estimation - how neural networks learn | Chan`s Jupyter
In this post, we will review a Maximum Likelihood Estimation (MLE for short), an important learning principle used in neur…
-
### Learning Materials
1. Theory: Andrew NG, courseRA, https://www.coursera.org/learn/machine-learning/home/welcome
2. Practice: scikit-learn tutorial, https://scikit-learn.org/stable/tutorial/index…
-
https://www.coursera.org/lecture/deep-learning-in-computer-vision/multiple-object-tracking-dMSiZ