About This Course
AI and Deep Learning with Tensorflow program covers various Machine Learning Paradigms, how Deep Learning functions as a tools to achieve AI goals starting from Machine Learning.
This course empowers you to master concepts of Neural Network Architecture, Regularisation for Deep Learning and Convolution Networks.
Learner will also develop the understanding of Computational Graphs unfolding, various types of neural networks in terms of Deep Learning, Boltzmann Machines and Deep Belief Networks.
Finally, learner will master the practical implementation of building and training neural networks, interpret and unfold patterns and correlations using Open Source Software Library – Tensorflow by Google.
About This Course
AI and Deep Learning with Tensorflow program covers various Machine Learning Paradigms, how Deep Learning functions as a tools to achieve AI goals starting from Machine Learning.
This course empowers you to master concepts of Neural Network Architecture, Regularisation for Deep Learning and Convolution Networks.
Learner will also develop the understanding of Computational Graphs unfolding, various types of neural networks in terms of Deep Learning, Boltzmann Machines and Deep Belief Networks.
Finally, learner will master the practical implementation of building and training neural networks, interpret and unfold patterns and correlations using Open Source Software Library – Tensorflow by Google.
Course Objectives
- Understand various Machine Learning Paradigms
- Understand Supervised & Unsupervised Learning Algorithms
- Master basic concepts of Deep Learning
- Learn practical aspects of Recurrent and Recursive Neural Networks
- Understand large scale Deep Learning
- Implement the learnt concept in a case study based Project
Curriculum
- Module 1:Machine Learning Basics
- Module 2:Introduction to Neural Nets and Deep Learning
- Module 3:Introduction to TensorFlow
- Module 4:Convolutional Networks
- Module 5:Recurrent and Recursive Nets
- Module 6:Unsupervised Learning: Autoencoders, RBM
- Module 7:Practical Methodology
- Module 8:Hands on Project
Course Pre-Requisite
Learner should have knowledge of a computer programming language preferably R or Python, Statistics & Probability and basic concepts of Machine Learning.
Course Calendar
| Start Date | End Date | Duration | Locaton | Register Now |
|---|---|---|---|---|
| 27th July 2019 | 28th July 2019 | 2 Days | Pune | Register Now |
| 24th Aug 2019 | 25th Aug 2019 | 2 Days | Pune | Register Now |
| 21th Sep 2019 | 22nd Sep 2019 | 2 Days | Pune | Register Now |
Course Calendar
| Stat Date |
End Date | Duration | Location |
|---|---|---|---|
| 27th July 2019 | 28th July 2019 | 2 Days | Pune |
| Stat Date |
End Date | Duration | Location |
|---|---|---|---|
| 24th Aug 2019 | 25th Aug 2019 | 2 Days | Pune |
| Stat Date |
End Date | Duration | Location |
|---|---|---|---|
| 21th Sep 2019 | 22th Sep 2019 | 2 Days | Pune |
