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Advanced Deep Learning using Python in Hyderabad

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 Hyderabad

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 Hyderabad

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

Design Advanced Neural Networks With Skill-Lync's Advance Deep Learning using Python Course in Hyderabad

Deep learning is a powerful tool for analyzing data and recognizing patterns. But, for deep learning algorithms to be practical, the data must be properly prepared and features must be engineered.

Skill-Lync's Advanced Deep Learning Course in Hyderabad is designed to provide a comprehensive understanding of deep learning concepts and their applications using Python.

The course begins with an introduction to deep learning. It covers data pre-processing, neural networks, and convolutional neural networks. It takes you through recurrent neural networks and long short-term memory in the second module. By the end of this course, you will have a good understanding of how deep learning works and be able to apply it to solve real-world problems. 

After that, this deep learning training in Hyderabad dives deeper into convolutional networks and recurrent neural networks to show their applications in image and speech recognition and language modelling. You will explore reinforcement learning algorithms such as deep Q-learning and Deep Q-Network. 

This course is ideal for students and professionals who want to make a career in deep learning or are looking to improve their skills in this area. The deep learning online course is also helpful for data scientists and machine learning engineers who want to add deep learning to their repertoire.

FAQs

Why choose the Advanced Deep Learning Course with Skill-Lync in Hyderabad?

The Advanced Deep Learning Course with Skill-Lync in Hyderabad is a comprehensive course covering all the critical deep learning topics. The experienced instructors will help you understand deeper neural networks, convolutional neural networks, and recurrent neural networks. 

What are the prerequisites for taking up the Advanced Deep Learning Course with Skill-Lync in Hyderabad?

Skill-Lync's Advanced Deep Learning Course in Hyderabad has no specific prerequisites for taking up this course. However, it would be helpful if you have prior knowledge of Python and machine learning algorithms.

What is the program fee for the Advanced Deep Learning Course with Skill-Lync in Hyderabad?

The program fee for the Advanced Deep Learning Course with Skill-Lync in Hyderabad is INR 15,000 for 3 months to get lifetime access to the course material. Alternatively, you can pay INR 7,000 or INR 10,000 for 3 months each to get two or four months of access to the course material.

What are the benefits of choosing to do the Advanced Deep Learning using Python Course with Skill-Lync in Hyderabad?

Pursuing a deep learning certification  course at Skill-Lync would offer many benefits to you,

  • Industry-oriented curriculum.
  • Hands-on experience in solving industry projects.
  • Email and forum support from the technical support team to clear your doubts.
  • A certificate of completion.

What are the career prospects after completing the Advanced Deep Learning Course with Skill-Lync in Hyderabad?

You can find multiple deep learning jobs in Hyderabad. Students can join as:

  • Machine Learning engineer
  • Data Engineer
  • Research Analyst

These roles offer lucrative salaries and bonuses in both larger companies and startups!

What is the expected salary range after completing the Advanced Deep Learning Course with Skill-Lync in Hyderabad?

The average salary for a Deep Learning Engineer in Hyderabad is ₹6,00,000 yearly. The highest average salary of a machine learning engineer in Hyderabad is ₹18,00,000 per year, depending on the experience and skill set.

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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