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Advanced Deep Learning using Python in Chennai

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 Chennai

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 Chennai

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

Advanced Deep Learning using Python by Skill-Lync Chennai: Learn the Core and Advance of Neural Networks and Artificial Intelligence

Deep-Learning algorithms lie at the core of artificial intelligence, and there is fierce competition among modern businesses concerning the adoption of deep algorithms. As a consequence, there are a plethora of opportunities for Deep-learning experts in various industries.

Skill-Lync with its 3-month online deep-learning certification course, the institute is committed to imparting knowledge of one of the most in-demand technologies. In this deep-learning online course, you will be trained in Python and get hands-on working experience. Besides, you will work on 2 comprehensive industry projects in this advanced deep-learning course to learn how this technology is utilised in the industry.

Another advantage of this deep-learning course in Chennai is that it provides machine learning training and technical assistance to ensure that you understand the concepts clearly. Skill-Lync has thoughtfully designed this course to ensure your professional growth. So, if you are interested in deep-learning courses then enrol in the best deep-learning course offered by Skill-Lync.

FAQ’s

Why choose Advance Deep Learning using Python by Skill-Lync in Chennai?

The deep-learning training in Chennai offered by Skill-Lync has an advanced curriculum covering algorithms for artificial intelligence, convolutional, and recurrent neural networks. Experts teach this advanced course through which you will get conceptual and industry knowledge.

What are the prerequisites for enrolment in Advance Deep Learning using Python by Skill-Lync Chennai?

There is no set academic requirement for taking this course. If you have a knack for machine learning and artificial intelligence, the course is right for you.

What is the program fee for Advanced Deep Learning using Python by Skill-Lync Chennai?

There are three payment options: Basic, Pro, and Premium. The basic plan provides you with 2 months of access at INR 7000 per month for three months, the Pro plan provides you with 4 months of access at INR 10,000 per month for three months and the Pro plan provides you lifetime access at INR 15,000 per month for three months.

What are the benefits of the Advanced Deep Learning using Python by Skill-Lync Chennai?

This course is one of the best machine learning courses in Chennai that integrates theoretical and hands-on training. The industry expert with 8 years of experience delivers the course content to give you updates on the latest trends in the industry. Besides, you get real-time projects to work on and enhance your practical skills, which is an added advantage.

What are the career prospects after completing Advanced Deep Learning using Python by Skill-Lync Chennai?

After completing the Advanced Deep Learning using Python several opportunities will open up for you. Some exciting position include,

  1. Data Scientist
  2. Machine Learning Engineer
  3. Data Analyst
  4. Research Engineer

What is the expected salary range for deep-learning experts?

In India, the base average salary of deep-learning experts is close to INR 16 Lakhs per annum. In Chennai, deep learning experts can earn 3 Lakhs per annum to 13 Lakhs per annum, depending upon their skills and experience.

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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