Personal-Curriculum

Courses Taken :

Coursera >
1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Course link-https://www.coursera.org/learn/introduction-tensorflow
2. Robotics : Mobility
Course Link-https://www.coursera.org/learn/robotics-mobility/
Certificate-https://coursera.org/share/b813410fa3cc222c3eda41021389eed9
2. Machine Learning
Course link-https://www.coursera.org/learn/machine-learning
Certificate-https://coursera.org/share/246fddb02dde9c4b3eeba10fe6f8663f
NPTEL >
1. Mechanisms and Robot Kinematics
Skillshare>
1. How to Learn: Strategies for Starting, Practicing & Mastering the Skills You’ve Always Wanted
Course link-https://skl.sh/2xYtnO0
Takeaway-
2. A beginner's introduction to Git and GitHub
Course link-https://skl.sh/2VuPGTB
Takeaway-

Courses taking currently :

Modern Reinforcement Learning: Actor-Critic Algorithms
Course link-https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/
Takeaway-

In the pipeline :

Coursera >
1. Perform Real-Time Object Detection with YOLOv3
Course link- https://www.coursera.org/learn/real-time-object-detection-yolo/home/welcome
Takeaway-
2. Convolutional Neural Networks in TensorFlow Course link-https://www.coursera.org/learn/convolutional-neural-networks-tensorflow/home/welcome Takeaway-
3. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Course link-https://www.coursera.org/learn/deep-neural-network/home/welcome
Takeaway-
4. Neural Networks and Deep Learning
Course link-https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome
Takeaway-

Crash courses :

1. Git Basics [Incomplete]
1. OpenCV Basics [Incomplete]

Research Paper summaries :

** https://github.com/csingh27/Personal-Curriculum/blob/master/Research%20Paper%20Summaries/Paper-progress.md

Conferences :

1. Machines Can See 2020 : http://machinescansee.com
2. ICRA 2020 : https://www.icra2020.org/