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AI and Data Science Courses in Ghaziabad

Deep Learning: A Comprehensive Overview


Delve into Deep Learning, a core aspect of our AI and Data Science Course. Explore advanced algorithms using TensorFlow and PyTorch to revolutionize industries—master neural networks for tasks like image recognition and natural language processing. Join our AI and Data Science Course to gain these cutting-edge skills.




Price:
14500
Duration: 50-60 hrs
Language:
Hinglish

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About the course

Deep Learning: Unraveling the Future of AI


Deep Learning, a subset of machine learning in Artificial Intelligence (AI), mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. This overview provides insights into deep learning's applications, significance in data science, learning pathways, industry trends, essential tools, top resources for further learning, and its adoption in the industry. Dive deeper into this field with an AI and Data Science Course, where you'll explore advanced concepts and practical applications.

This AI and Data Science Course is designed to equip you with the skills needed to excel in this rapidly evolving field.

What you'll learn

Foundations of Deep Learning

Neural Network Architectures

Mathematical and Theoretical Underpinnings

Frameworks and Tools

Training Deep Learning Models

Advanced Deep Learning Concepts

Ethical Considerations

Syllabus of the course

> Single Layer Perceptron

> Activation Functions (Linear, Sigmoid, Tanh, Relu, Leaky Relu)

> Loss Functions

> Optimization Techniques (Gradient Descent, Stochastic Gradient Descent, Mini Batch Gradient Descent, ADAM, RMSProp, AdaGrad, Nadam)

> Conv Operations

> Fully Connected Network

> LeNet, AlexNet, ResNet, VGG

> RCNN, Fast RCNN, Faster RCNN, Mask RCNN

> YOLO, SSD

> LSTM

> GRU

> CNN + RNN

> Bi-Directional RNN

> Boltzmann Machine Deep Boltzmann Machine Restricted Boltzmann Machine

> Deep Boltzmann Machine

> Restricted Boltzmann Machine

> AutoEncoders Standard AutoEncoders Variational AutoEncoders Stacked AutoEncoders

> Standard AutoEncoders

> Variational AutoEncoders

> Stacked AutoEncoders

> Deep Belief Networks

> GAN

> Deep Dream (Neural Style Transfer)

Want to know about all Courses? Enroll in our course today and unlock your potential for a brighter future!

Check Your Eligibility

Our faculty are all professionally qualified and have rich industry experience, essential for giving a practical context to concepts
check your eligibility
  • Mathematics

  • Programming Skills

  • Computer Science Fundamentals

  • Curiosity and Willingness to Experiment

Meet Our Expert Faculty

Our faculty are all professionally qualified and have rich industry experience, essential for giving a practical context to concepts
Khushi Thakur (Data Analyst & Instructor)
Khushi Thakur (Data Analyst & Instructor)

Sahil Kumar (Data Analyst & Lead Instructor)
Sahil Kumar (Data Analyst & Lead Instructor)

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Batches

Enroll today to start learning on your terms!

Ongoing batches list
DL/Online/WE/0424

April 24th, 2024

Online Weekend Batch

DL/Offline/WE/0424

April 30th, 2024

Offline Weekend Batch

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Target Audience

This focuses on the benefits the audience can achieve by taking the course. (e.g., Unlock your potential using this course).

FAQ’s

Individuals interested in advancing their knowledge in AI, including students, researchers, and professionals in fields such as data science, software engineering, and analytics, should consider applying.
Absolutely, working professionals aiming to expand their expertise in artificial intelligence and machine learning can benefit significantly from the Deep Learning course.
Yes, Brain-Mentors provides the Deep Learning course in an online format, facilitating remote learning for participants worldwide.
Fees for the Deep Learning course may vary based on course content, duration, and learning mode. It's advisable to check the latest course details for accurate fee information.
Salaries for Deep Learning specialists can vary widely depending on experience, industry, and geographical location, but they are generally competitive due to the high demand for skills in AI.
Students from non-technical backgrounds can pursue the Deep Learning course, although having a foundational understanding of programming and mathematics will be highly beneficial.
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