Gain an in-depth understanding about deep learning algorithms and their development using Python.
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This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
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:
You will also get to complete projects requiring extensive hands-on work with Python according to modern trends in the industry.
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)
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Week 2 - Activation Functions in Neural Networks
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Week 3 - Deep Learning
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Week 4 - Evaluation of Models
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Week 5 - Improvising the Model
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Week 6 - Optimizers
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Week 7 - Convolutional Neural Network (CNN) - Part 1
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Week 8 - Convolutional Neural Network (CNN)- Part 2
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Week 9 - Recurrent Neural Network (RNN) - Part 1
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Week 10 - Recurrent Neural Network (RNN) - Part 2
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Week 11 - Basics of Natural Language Processing (NLP)
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Week 12 - End-to-End ML Project Steps
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Our courses have been designed by industry experts to help students achieve their dream careers
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
Skill-Lync has received honest feedback from our learners around the globe.
Talk to our career counsellors to get flexible payment options.
INR 40,000
Inclusive of all charges
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
1 Year Accessto Skill-Lync’s Learning Management System (LMS)
Personalized Pageto showcase Projects & Certifications
Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.
Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.
Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
8 years in the experience range
Instructors with 8 years extensive industry experience.
Areas of expertise
Pune
Delhi
Hyderabad
Mumbai
Bangalore
Chennai
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