Your wait is finally over. Yann LeCun has finally launched Deep Learning Course - DS-GA 1008 for Spring 2020. This course is being recorded at the NYU Centre of Data Science(CDS). It's available free for all and it's completely online. Yann LeCun as you already know is the instructor for this Course alongside Alfredo Canziani. In case you don't know about Yann LeCun, let me give you a short introduction to who he is.
Yann LeCun - Founding Father of Convolutional Neural Networks
He is a french computer scientist who works mainly in Machine Learning, Deep Learning, Computer Vision, and Computer NeuroScience. He is the Silver Professor of Courant Institute of Mathematical Sciences at New York University and also the Vice President, Chief AI Scientist at Facebook.
He is known for his work in the field of Optical character recognition and Convolutional Neural Network. Yann LeCun is known as the father of Convolutional Neural Networks. In 2018, he along with Yoshua Bengio and Geoffrey Hinton, received the Turing award for their immense contribution in Deep Learning
All about the Deep Learning Course
This course involves the latest technologies in deep learning, representative learning. It focuses on supervised as well as unsupervised deep learning.
We will give going in details in the points below to understand what the course really covers. So let's get straight into it -
Convolutional Neural Networks - The Algorithms, Backpropagation, Optimization Techniques, Implementations, Advantages and Applications
Artificial Neural Networks
Sequence Models like RNN, GRU, LSTM, Attention, Seq2Seq, Memory Networks
Energy-based Models and Self Supervised Learning
Auto Encoders
Generative Adversarial Networks
Attention and Transformer Networks
Graph Convolutional Neural Networks
Overfitting and Regularization
The course duration is 14 weeks and it starts with the basics of Convolutional Neural Networks and takes us deep into understanding advanced topics like GANs, Energy-based models. It contains video lectures, notes, and Jupyter notebooks which are easily executable. The whole course follows the Pytorch library as its base library. This course was initially designed for the English language but it supports translations in Russian, Spanish, French, Arabic, Japanese, Korean, Chinese, Italian, Spanish, Turkish, Persian while Portuguese, Bengali, and Vietnamese translations are coming in the future.
Who should take this course
People who are interested in Machine learning and deep learning and have a background in coding (Python preferably) and some mathematics (differential calculus, and linear algebra) can take this course.
If people are not into coding and don't have a mathematics background will find it a bit difficult to grasp the concepts in this course. I would highly recommend reading my blog - How To Get Started With Machine Learning From Scratch which is coming out later this week. You can subscribe to my blog to get instant notifications whenever I publish my articles.
One can check out all the details of the course - Link
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