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Advanced Deep Learning using Python in Bangalore

Gain an in-depth understanding about deep learning algorithms and their development using Python.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies Python

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

Automating machines to process information and replicate knowledge-levels like humans is the primary focus of deep learning and neural networks. Deep learning simplifies the process of gathering, assessing, and interpreting data sets for engineers, and offers a proactive solution to foreseeing events by studying patterns. Engineers can develop and study versatile deep learning codes using Python - making it a fundamental skill in the job industry. 

This course is focused on enriching engineers with theoretical and practical knowledge on the following: 

  • Feed forward neural networks
  • Activation functions
  • Deep learning algorithms
  • Convolutional neural networks
  • Recurrent neural networks
  • Natural language processing

You will also get to complete projects requiring extensive hands-on work with Python according to modern trends in the industry.

Course Syllabus in Bangalore

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Artificial Neural Network (Feed Forward Neural Network)

This week will cover

  • Neural networks 
  • Different architectures of Neural Networks
  • Importance of Neural Networks
  • Hyperparameters in Neural Networks
  • Different types of Gradient descent methods

Week 2 - Activation Functions in Neural Networks

This week will cover

  • Conic sections
  • Hyperbolic trigonometric functions
  • Sigmoid activation function
  • Tanhx activation function
  • Relu activation function
  • Softmax activation function

Week 3 - Deep Learning

This week will cover

  • Deep learning terminologies
  • Nomenclature
  • Order of vectorized forms
  • Forward propagation derivation with 1 layer
  • Back propagation derivation with 1 layer
  • Batch size, iteration and epoch

Week 4 - Evaluation of Models

This week will cover

  • Underfitting
  • Overfitting
  • Lasso regularization
  • Ridge regularization
  • Elastic Net regularization

Week 5 - Improvising the Model

This week will cover

  • Ensemble methods
  • Sparse and convex functions
  • Bagging to avoid overfitting
  • Boosting to avoid underfitting
  • Stacking to avoid underfitting

Week 6 - Optimizers

This week will cover

  • Frobenius norm regularization
  • Data augmentation
  • Early stopping
  • Adam optimizer
  • Tensorflow 2.0

Week 7 - Convolutional Neural Network (CNN) - Part 1

This week will cover

  • Basics of CNN
  • Edge detection
  • Padding
  • Stride
  • Simple CNN
  • Difference between CNN & ANN

Week 8 - Convolutional Neural Network (CNN)- Part 2

This week will cover

  • Pooling layers
  • Transfer learning
  • Examples of CNN architecture
  • Combination of different Neural network architecture
  • CNN in Python

Week 9 - Recurrent Neural Network (RNN) - Part 1

This week will cover

  • RNN Model
  • Different types of RNN
  • Gradients in RNN
  • Back propagation
  • Difference between RNN & ANN

Week 10 - Recurrent Neural Network (RNN) - Part 2

This week will cover

  • Gated Recurrent Unit (RNN)
  • Long short term memory (LSTM)
  • Bidirectional RNN
  • RNN Implementation in Python

Week 11 - Basics of Natural Language Processing (NLP)

This week will cover

  • Stop words
  • Stemming
  • Lemmatization
  • Word2vec
  • Implementation of word2vec in Python

Week 12 - End-to-End ML Project Steps

This week will cover

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Bangalore

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Logistic Regression and Gradient Descent

In this project, you will perform logistic regression and gradient descent on a given dataset using Python. 

ANN, CNN and RNN

In this project, you will have to work on prediction of machine failure for a given dataset using ANN (Hyperparameters is completely dependent on individuals to come up with the best model).

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Upskill yourself with Advance Deep Learning using Python in Bangalore

Skill-Lync aims to deliver an in-depth review of all important Machine Learning concepts through Advance Deep Learning using Python course. Through the deep learning training in Bangalore, you will get the opportunity to obtain practical experience having worked with real-time data, categorization, and other abilities. Industry-expert data scientists have designed this supervised deep learning course in Bangalore. 

The deep learning course in Bangalore by Skill-Lync covers machine learning, deep learning, data mining, and statistical pattern identification in general. This Machine Learning training in Bangalore will help you learn how to apply learning algorithms to construct clever AI systems, text interpretation, computer vision technologies, healthcare analytics, audio, database mining, and other domains.

The major concepts that you will learn in this course are the Importance of Neural networks, activation functions and hyperbolic trigonometric functions, and Sigmoid, Tanhx, Relu, and Softmax activation functions. Enrol in one of the best deep learning courses in Bangalore to know what is deep learning and become certified in this cutting-edge technology. The knowledge and certification by Skill-Lync will assist you in expanding your skillset or switching domains and learning about what is deep learning vs machine learning.

FAQs

Why go for an Advanced Deep Learning using Python Course in Bangalore?

The Deep Learning Certification programme establishes industry-driven projects that assist students to improve their deep learning, Python programming language, and machine learning talents and comprehension. By opting for a deep learning course in Bangalore, students get the opportunity to explore their career avenues.

What is the program fee of Skill-Lync's Advanced Deep Learning using Python Course?

The machine learning course fee in Bangalore is available in three payment plans: the basic, the pro and the premium. The basic plan is at INR 7,000 for 3 months with 2 months of access, the pro plan is at INR 10,000 for 3 months with 4 months of access, and the premium plan is at INR 15,000 for three months with a lifetime of access.

What are the prerequisites for taking up the Deep Learning Certification programme?

This course has no prerequisites, and anyone interested can take up this deep learning training in Bangalore.  

What are the benefits of pursuing a Deep Learning Certification programme?

Deep learning courses assist students to comprehend how Artificial Intelligence is being used to allow robots to learn a task from practice without having to be programmed. Students comprehend how the deep learning process starts with feeding them high-quality data and then prepares the machines by using the data and complex algorithms to create distinct deep learning patterns. In addition, students learn about the many algorithms that rely on people's data and automate tasks.

What are the career prospects after completing the best deep learning course in Bangalore?  

After completing the best deep learning course in Bangalore, you can apply for different positions, such as:

  • Research analyst
  • Data Analyst
  • Data Engineer
  • Business Intelligence Developer
  • Computer Vision Engineer
  • ML Specialist

What is the expected salary range after completing the best deep learning course?

After completing this course, you can earn an average salary of INR 8.4 lakhs and ranges from ₹ 4.0 Lakhs to ₹ 39.0 Lakhs.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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8 years in the experience range

Instructors with 8 years extensive industry experience.

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Areas of expertise

  • Machine Learning
  • Deep Learning

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