Summer School '20
IEEE Student Branch DAIICT aims to provide an interactive platform for students to develop professional and technical abilities. We, at DA-IICT observe a 3 month break during summer from May to July. IEEE SB DAIICT hosts Summer School every year to provide students an opportunity to develop their technical skills and make their summer break productive. It is a 7-day program wherein the students get a hands-on experience in one of the emerging technical domains followed by a project competition.
The domain for Summer School 2020 is Deep Learning with a special focus on Convolutional Neural Networks (CNN) and Natural Language Processing (NLP). Deep Learning, along with Machine Learning, is becoming quite a buzzword these days. With the advent of high-performance computing and the availability of huge data, it has become much easier to implement large neural networks and increase the performance of the learning algorithms. We aim to educate the students about this interesting branch of computer science and encourage them to contribute more to the field of deep learning in India.
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09:00 - 10:00 - Basics of ML - regression, classification, clustering
10:00 - 11:00 - Problem of overfitting and underfitting
Talk: OpenData / Room 31
12:00 - 13:00 - Select suitable features from large data and scaling for missing data points
Talk: OpenData / Room 31
09:00 - 10:00 - Detailed view of fully connected networks
Talk: OpenData / Room 31
10:00 - 11:00 - Multi-class classification
Talk: OpenData / Room 31
12:00 - 13:00 - Gradient descent and back propogation
Talk: OpenData / Room 31
13:00 - 15:00 - Layers
Talk: OpenData / Room 31
09:00 - 10:00 - Activation functions
Talk: OpenData / Room 31
10:00 - 11:00 - Loss functions
Talk: OpenData / Room 31
12:00 - 13:00 - Optimizers
Talk: OpenData / Room 31
13:00 - 15:00 - Visualise internals of CNN layers
Talk: OpenData / Room 31
09:00 - 10:00 - Convolution for images
Talk: OpenData / Room 31
10:00 - 11:00 - Transfer Learning
Talk: OpenData / Room 31
12:00 - 13:00 - Dropout and Batch
Talk: OpenData / Room 31
09:00 - 10:00 - Sequential and functional models
Talk: OpenData / Room 31
10:00 - 11:00 - Using GPUs to train faster
Talk: OpenData / Room 31
12:00 - 13:00 - Use cases of Tensorbord
Talk: OpenData / Room 31
09:00 - 10:00 - RNNs + LSTMs + GRUs
Talk: OpenData / Room 31
10:00 - 11:00 - Basics of embeddings
Talk: OpenData / Room 31
12:00 - 13:00 - Intro with NLTK library
Talk: OpenData / Room 31
09:00 - 10:00 - Buffer day + some competition
Talk: OpenData / Room 31
10:00 - 11:00 - Sentiment Detection
Talk: OpenData / Room 31
12:00 - 13:00 - IMDB reviews based movie ratings and suggestions
Talk: OpenData / Room 31
13:00 - 15:00 - Hate speech classifier
Talk: OpenData / Room 31
IEEE Member
Non-IEEE Member
IEEE Member
Non-IEEE Member
Rahil Patel : +91 878 000 2191
Yashvi Shah : +91 972 503 5934
IEEE ROOM, CLUB HOUSE - 2, DA-IICT, GANDHINAGAR – 382007 GUJARAT, INDIA
© 2020 IEEE SB DAIICT. All rights reserved | Design by Meet Patel, Hitesh Goyal, IEEE SB, DA-IICT
