Deep Learning(Keras: CompVision, openCV, Sequences, FuncAPI)
What you'll learn
- The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras.
- As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems
Requirements
- Python language
Description
Following topics are covered as part of the course
Explore building blocks of neural networks
Data representation, Tensor, Back propagation
Keras
Dataset, Applying Keras to cases studies, over fitting / under fitting
Artificial Neural Networks (ANN)
Activation functions
Loss functions
Gradient Descent
Optimizer
Image Processing
Convnets (CNN), hands-on with CNN
Text and Sequences
Text data, Language Processing
Recurrent Neural Network (RNN)
LSTM
Bidirectional RNN
Gradients and Back Propagation - Mathematics
Gradient Descent
Mathematics
Image Processing / CV - Advanced
Image Data Generator
Image Data Generator - Data Augmentation
Pre-trained network
Functional API
Intro to Functional API
Multi Input Multi Output Model
The videos are concepts and hands-on implementation of topics
Who this course is for:
- Beginner Python developers, Data Science students, Students who have some exposure to Machine Learning
Course content
- Preview07:21
- Preview24:06
- 16:21Tensors
- 19:59Tensor Operations
- 14:06Tensor Flow and Keras - Overview
Instructor
![Shrirang Korde](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 400 Reviews
- 54,512 Students
- 5 Courses
Shrirang is a Technology expert in product development with international exposure. His more than 25 years of rich experience spans across companies like Bharat Electronics Bangalore (BEL), Tata Elxsi Bangalore/Japan, Philips Software Bangalore/Netherlands, Persistent Systems Pune/Nagpur , ERP based startup. He has handled various overseas customers in countries like USA, Japan, Taiwan, Netherlands and Belgium including working onsite. He was instrumental in starting Technology Incubator at VNIT Nagpur in cooperation with SINE@IIT-Bombay. He also has 10+ years’ experience of campus recruitment and lateral hiring.
He is a mentor for TCS iON program and provides online training for IoT course (via TCS’s iON platform). He was responsible for IoT lab setup at one of the Engineering College. Apart from that he was visiting faculty at VNIT (NIT Nagpur) and other colleges at Nagpur. He conducts training programs for faculties (FDP) and students.
He has authored a book titled "21 IoT Experiments" (Yashwant Kanetkar/ Shrirang Korde).
He also has research publications to his credit including VDAT publication.
His current focus is in technology areas like Machine Learning, Deep Learning, Python & Data Science, Data Structures, C/C++/Java, Internet of Things (IoT) and Android programming.