Deep Learning R(20) | 2023-2024|

 Deep Learning Material:

PPTs

1. Introduction

2. Linear Algebra

3. Probability & Information Theory

Material in PDF

1. Introduction & Linear Algebra.

Recorded Sessions

#UNIT -2 ( Deep Learning PCA)

#UNIT-3 (Fundamentals of Deep Learning)

#UNIT -3 Regularization (Introduction, Parameter Norm penalties, Constraint based, Under constraint based penalization) 

#UNIT -3  Regularization (Data Augmentation, Noise Robustness)

#UNIT-3   Regularization (Multi Tasking, Early Stopping, Sparse Representation, Bagging and Other Ensemble models)

___________________________________________________________

Home                                                                                                                        Previous

Internships: 

1. Atlassian Women Tech 3.0 Intern

2.AMD Intern Hiring

3. Infosys Internship

4. Google Internship

Placements:

1. Martdocks CSA 28.9.2023

2. Merkle Sokrati - Associate Business Analyst (2020 - 2024)

3. Walmat , Inc. 

4. ECLERX Off campus Drive | Data Analyst (AMP Data) 

5. DP Worlds

6. L & T Software

Material

Deep Learning

1. Linear Algebra - Scalars, Vectors, Matrices and Tensors

2. Linear Algebra (Matrix operations)

3.  Type of matrix with programs

Deep learning  CNN