DEEP LEARNING

DEEP LEARNING

UNIT-I: Mathematical foundations of Deep Learning Scalars, Vectors, Matrices and Tensors, Multiplying Matrices and Vectors, Identity and Inverse Matrices, Linear dependence and span, Norms, Special kinds of matrices and vectors, Trace operations, Eigen value decomposition. 

UNIT-II: Fundamentals of Deep Learning Anatomy of Neural Networks: Layers, Models, Loss functions and optimizers Training Deep Networks: Cost Functions, Optimizers Types of Deep Neural Networks.

UNIT-III: Convolutional Neural Networks Motivation, Convolution Operation, Types of layers, Pooling, LENET5 Architecture. 

UNIT-IV: Recurrent Neural Networks Architecture of traditional RNN, Types and applications of RNN, Variants of RNNs, Word Embedding using Word2vec 

UNIT-V: Regularization and Autoencoders Regularization for Deep Learning: L1 and L2, Dropout, Data Augmentation, Early Stopping, Case study on MNIST data Autoencoders: Architecture, Implementation, Denoising Autoencoders, Sparse Autoencoders, Use cases. 

TEXTBOOKS: 

1. Deep Learning, Ian Goodfellow, YoshuaBengio and Aaron Courvile, MIT Press, 2016 

2. Deep Learning with Python, Francois Chollet, Manning Publications, Released December 2017. 

3. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence – Jon Krohn, Grant Beyleveld, AglaéBassens, Released September 2019, Publisher(s): Addison-Wesley Professional, ISBN: 9780135116821 

4. Deep Learning from Scratch - Seth Weidman, Released September 2019, Publisher(s): O'Reilly Media, Inc., ISBN: 9781492041412 

Reference Books: 

1. Artificial Neural Networks, Yegnanarayana, B., PHI Learning Pvt. Ltd, 2009. 

2. Matrix Computations, Golub, G.,H., and Van Loan,C.,F, JHU Press,2013. 

3. Neural Networks: A Classroom Approach, Satish Kumar, Tata McGraw-HillEducation, 2004. 

Web Link: Swayam NPTEL: https://onlinecourses.nptel.ac.in/noc22_cs22/previewB.Tech.(Artificial Intelligence and Data Science) Deep Learning:

All Units Materials and PPTS: (LINK)

https://drive.google.com/drive/folders/10XlfqgEK-hrEAGYjAeL1JTwvzjvfnKQB?usp=sharing

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