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DEEP LEARNING IN PYTHON

Learn & Practice One Of The Most Sought-After Skills In 21st Century

20 Hours Of Interactive Learning Along With Hands-on Practice

Participate From Your PC/Mobile With HD Video Live Streaming

Fully Interactive With Two-Way Live Communication

Access Recorded Classes For Easy Reference

Deep Learning In Python by MyAbhyaas Academy is an advanced course in Machine Learning designed to provide a detailed practical approach about how to model high-level abstractions in data for study of pattern recognition and computational learning. This is part of ever growing field of prediction-making through the use of computers – in Artificial Intelligence. This course is for students who are looking forward to making a career in one of the most sought after fields of the 21st century – the Artificial Intelligence. Students will learn all about the theoretical foundation and practical implementation of many aspects of deep learning using Python. This will include deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks, and recurrent neural networks have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks. Students will earn a certification that will differentiate their resume and will prepare them to face any interview from companies in a confident manner.

This course is also designed for working professionals with a keen interest in learning this to enhance their ability to effectively use intelligence in their field. If you are intrigued by the ever improving possibilities of the Artificial Intelligence and want to understand this better – our course is specifically for you!

 

KEY LEARNING FROM THIS PROGRAM

1. A comprehensive understanding of the Deep Learning using Python
2. A comprehensive understanding of key technical tools
3. A practical approach to data preprocessing and visualization
4. A practical approach to modeling data for effective implementation of deep learning techniques
5. Improve skills about organizing, researching and communicating ideas

GET IN TOUCH TO KNOW MORE

Call Us: +91-90040-89006

COURSE BENEFITS

LEARNED INSTRUCTORS

With M. Tech. in Deep Learning and multiple years of experience working for global financial institutions and automation start-ups. An effective combination of academic excellence and experience implementing large projects!

5+ PROJECT EXAMPLES

To help participants better understand nuances of application of conceptual learning in practical implementation. Assignments designed to encourage students to develop critical thinking abilities in working with technology tools!

1-MONTH FREE ACCESS

To the instructor – to help you refine your approach and practice implementing the learned concepts. You can clarify your doubts and exchange ideas to improve your projects!

COURSE CURRICULUM

MODULE 1: INTRODUCTION

1.1. Setting Up Environment for Deep Learning
1.2. Keras, Tensorflow, Jupyter etc
1.3. Quick overview of Python

ASSIGNMENT 01: ONLINE SIMULATION ACTIVITY

MODULE 2: THEORETICAL FOUNDATION OF DEEP LEARNING

2.1. Overview of Machine Learning
2.2. Deep Learning Vs. Machine Learning
2.3. Phases of Deep Learning Project

ASSIGNMENT 02: ONLINE SIMULATION ACTIVITY

MODULE 3: UNDERSTANDING NEURAL NETWORKS

3.1. Understanding Neural Network
3.2. How neural networks learn
3.3. Architecture of Neural Networks
3.4. Convolution Neural Networks
3.5. Recurrent Neural Networks

ASSIGNMENT 03: ONLINE SIMULATION ACTIVITY

MODULE 4: DATA PREPROCESSING

4.1. Learning Pandas for Data Preprocessing

ASSIGNMENT 04: ONLINE SIMULATION ACTIVITY

MODULE 5: DATA VISUALIZATION

5.1. Using matplotlib & Seaborn for Data visualization

ASSIGNMENT 05: ONLINE SIMULATION ACTIVITY

MODULE 6: CONVOLUTION NEURAL NETWORKS FOR IMAGE PROCESSING

6.1. Theory and practical project

ASSIGNMENT 06: ONLINE SIMULATION ACTIVITY

MODULE 7: RECURRENT NEURAL NETWORKS FOR NATURAL LANGUAGE PROCESSING

7.1. Theory and practical project

ASSIGNMENT 07: ONLINE SIMULATION ACTIVITY

PARTICIPANTS' FEEDBACK

Pranav Phadke

After completing "Practical Software Development", "Learning Java" and "Learning Python" from MyAbhyaas, I have enrolled for "Machine Learning" course! I am just in awe of the instructor's focus on making in easy to learn and implement by students like me. My earnings from freelance work has increased after these courses.

Student, BE - Computer Engineering, University of Mumbai

2017-03-15T22:37:53+00:00

Student, BE - Computer Engineering, University of Mumbai

After completing "Practical Software Development", "Learning Java" and "Learning Python" from MyAbhyaas, I have enrolled for "Machine Learning" course! I am just in awe of the instructor's focus on making in easy to learn and implement by students like me. My earnings from freelance work has increased after these courses.

Harshita Tanwar

Data analytics course from MyAbhyaas is helping me to understand the concepts and its practical application. The guidance provided by the instructor is also helping me to understand key skills required to do better in this field and then acquire those skills!

Data Analyst, Wipro

2017-02-09T18:22:49+00:00

Data Analyst, Wipro

Data analytics course from MyAbhyaas is helping me to understand the concepts and its practical application. The guidance provided by the instructor is also helping me to understand key skills required to do better in this field and then acquire those skills!

Himanshu Chaubal

The Data Analytics with R-programming course by MyAbhyaas is an excellent course! It gave me a clear understanding of all the concepts and tools for business analytics needed to evaluate market trends for different global industries effectively.

Business Research & Advisory Professional, Mumbai

2017-02-10T10:26:57+00:00

Business Research & Advisory Professional, Mumbai

The Data Analytics with R-programming course by MyAbhyaas is an excellent course! It gave me a clear understanding of all the concepts and tools for business analytics needed to evaluate market trends for different global industries effectively.

Aishwarya Tamboli

I completed the "Learning Python" and "Machine Learning In Python" courses from MyAbhyaas. The content and focus on practically implementing learned concepts were very helpful and now am able to use these tools effectively in my off-campus projects.

Student, BE - Computer Engineering, University of Mumbai

2017-03-15T22:30:54+00:00

Student, BE - Computer Engineering, University of Mumbai

I completed the "Learning Python" and "Machine Learning In Python" courses from MyAbhyaas. The content and focus on practically implementing learned concepts were very helpful and now am able to use these tools effectively in my off-campus projects.

Contact Us

Phone: +91-9004089006
Email: info@myabhyaas.com


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