New Year Offer - Flat 15% Off + 20% Cashback | OFFER ENDING IN :

Deep Learning Specialty Language Online Training Course

Multisoft Virtual Academy presents the Deep Learning Specialty Certification Course – an intensive program that empowers you to dive deep into the world of neural networks, artificial intelligence, and machine learning. Master the science behind deep learning algorithms and architectures, and transform your skills with real-world applications. Join us to accelerate your career in the fast-growing field of AI and deep learning.

partner image Guarantee image

Ready to Up-Skill yourself !

Share your details for best career advice.

Instructor-led Training Live Online Classes

Suitable batches for you

01 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

Enroll Now
lockimage Secure Transaction lockimage lockimage

Talk to our training advisor

Instructor-led Training Live Online Classes

01 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 500

Enroll Now
lockimage Secure Transaction lockimage lockimage

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 500

Enroll Now
lockimage Secure Transaction lockimage lockimage

Talk to our training advisor

Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
Deep Learning Specialty Training Course Syllabus

Curriculum Designed by Experts

Download Curriculum DOWNLOAD CURRICULUM

The Deep Learning Specialty Certification Course by Multisoft Virtual Academy is a comprehensive program designed for individuals who aim to advance their knowledge in deep learning, an integral part of AI. This course equips participants with the necessary skills to implement and work with various deep learning models including Neural Networks, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs). A key focus is on understanding and utilizing key programming libraries and frameworks such as TensorFlow, Keras, and PyTorch. T

he course combines theory with hands-on experience, enabling learners to practically apply deep learning techniques to real-world problems, like image recognition, natural language processing, and speech recognition. Back propagation, essential for training neural networks, and various deep architectures like auto encoders and Generative Adversarial Networks (GANs) are also thoroughly covered. The course encourages participants to understand and navigate the ethical considerations

and societal implications of deep learning technologies. Upon successful completion, learners receive a certification, adding significant value to their professional profile in the AI and Machine Learning field.

A Deep Learning Specialty Certification Course is an advanced program that educates learners on the principles and applications of deep learning, covering essential models like Neural Networks, CNNs, RNNs, and the use of tools like TensorFlow, Keras, and PyTorch. Practical, real-world applications and ethical considerations are also discussed.

  • Introduction to deep learning trends and applications
  • Examples of deep learning applications
Download Curriculum DOWNLOAD CURRICULUM

  • Machine learning problem setup and neural network mindset
  • Vectorization for efficient computation
Download Curriculum DOWNLOAD CURRICULUM

  • Building a neural network with one hidden layer
  • Understanding forward propagation and backpropagation
Download Curriculum DOWNLOAD CURRICULUM

  • Computation in deep learning
  • Building and training deep neural networks for computer vision tasks
Download Curriculum DOWNLOAD CURRICULUM

  • Initialization methods for deep neural networks
  • Regularization techniques to prevent overfitting
Download Curriculum DOWNLOAD CURRICULUM

  • Advanced optimization techniques for neural networks
  • Random minibatching and learning rate decay
Download Curriculum DOWNLOAD CURRICULUM

  • Introduction to the TensorFlow framework
  • Training neural networks on TensorFlow datasets
Download Curriculum DOWNLOAD CURRICULUM

  • Strategic guidelines for setting goals and managing ML production workflow
  • Error analysis procedures
Download Curriculum DOWNLOAD CURRICULUM

  • Understanding pooling and convolutional layers
  • Building deep CNNs for image classification
Download Curriculum DOWNLOAD CURRICULUM

  • Exploring advanced tricks and methods in deep CNNs
  • Applying transfer learning to pretrained models
Download Curriculum DOWNLOAD CURRICULUM

  • Using CNNs for object detection tasks
Download Curriculum DOWNLOAD CURRICULUM

  • Applying CNNs for face recognition tasks
  • Implementing neural style transfer for art generation
Download Curriculum DOWNLOAD CURRICULUM

  • Introduction to recurrent neural networks (RNNs)
  • Variants of RNNs for sequential data modeling
Download Curriculum DOWNLOAD CURRICULUM

  • NLP applications with deep learning models
  • Word embeddings for text analysis
Download Curriculum DOWNLOAD CURRICULUM

  • Enhancing sequence models with attention mechanisms
  • Speech recognition and audio data processing
Download Curriculum DOWNLOAD CURRICULUM

  • Understanding the functioning of transformer networks
Download Curriculum DOWNLOAD CURRICULUM

Free Career Counselling

We are happy to help you 24/7

Deep Learning Specialty Training Description

A Deep Learning Specialty Certification Course is an advanced program that educates learners on the principles and applications of deep learning, covering essential models like Neural Networks, CNNs, RNNs, and the use of tools like TensorFlow, Keras, and PyTorch. Practical, real-world applications and ethical considerations are also discussed. Here are some general course objectives for a Deep Learning Specialty Course:

· Gain a comprehensive understanding of various deep learning models, including Neural Networks, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).

  • Learn to implement deep learning algorithms, understand neural networks, and traverse layers of data abstraction to understand the architecture of different types of deep networks.
  • Develop a solid understanding of Back propagation - a fundamental concept in deep learning used for training neural networks.
  • Learn to build, train, and deploy various types of deep architectures including CNNs, RNNs, auto encoders, and Generative Adversarial Networks (GANs).
  • Understand the role of different activation functions, loss functions, optimization algorithms, regularization methods, and understand how to choose the appropriate function or method for a given task.
  • Learn how to use GPUs for training deep learning models more efficiently.

The target audience for a Deep Learning Specialty Certification Course typically includes:

  • Machine Learning Engineers and Data Scientists seeking to enhance their knowledge of deep learning and apply it in their professional field.
  • Software Engineers wanting to understand and apply deep learning models in creating or enhancing applications.
  • Research Scholars and Academicians who are researching or teaching in fields where deep learning models could be applied.
  • Professionals from other disciplines who are keen on switching their careers into AI and Machine Learning.
  • Students studying computer science or related fields who wish to gain expertise in deep learning.
  • Tech enthusiasts and hobbyists who have a keen interest in AI, machine learning, and deep learning technologies.

Course Prerequisites

  • Strong foundation in mathematics: Proficiency in linear algebra, calculus, probability, and statistics is essential for understanding deep learning concepts and algorithms.
  • Programming skills: Proficiency in at least one programming language, preferably Python, which is the most used language in the deep learning community.
  • Basic understanding of machine learning: Familiarity with key machine learning concepts, algorithms, and techniques, such as supervised and unsupervised learning, feature engineering, and model evaluation.
  • Knowledge of neural networks: Understanding the basic concepts and architecture of neural networks, including feedforward networks, backpropagation, and gradient descent.
  • Familiarity with deep learning frameworks: Experience with popular deep learning libraries and frameworks, such as TensorFlow, Keras, or PyTorch, is highly beneficial.
  • Hands-on experience: Practical experience applying deep learning models to real-world problems, such as image classification, natural language processing, or reinforcement learning

Deep Learning Specialty Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

Deep Learning Specialty Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

Like what you hear from our learners?

Take the first step!

Drop us Query

Deep Learning Specialty Training FAQ's

You should have basic knowledge of Python and some familiarity with Machine Learning concepts.

Yes, the course is typically designed as an online program to allow flexibility for learners worldwide.

Yes, upon successful completion, you will receive a Deep Learning Specialty Certification from Multisoft Virtual Academy.

Yes, the course usually involves several hands-on projects to apply the theoretical knowledge in practical settings.

You will learn about various models including Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, auto encoders, and Generative Adversarial Networks.

Yes, you will gain experience with key Deep Learning tools like TensorFlow, Keras, and PyTorch

The skills you acquire can be applied to numerous fields like image recognition, speech recognition, natural language processing, and more.

You'll need a computer with internet access. Specific software like Python, TensorFlow, Keras, or PyTorch may be required but these are usually free and open-source.

A Deep Learning Specialty Certification signals to potential employers that you possess advanced knowledge and skills in Deep Learning, enhancing your career prospects in AI and Machine Learning.

Multisoft Virtual Academy offer support through online forums, live sessions, and/or email.

Related Courses

Register Your Interest

double-inverted-icon

What Attendees Are Saying

A

" Great experience of learning R .Thank you Abhay for starting the course from scratch and explaining everything with patience."

- Apoorva Mishra
M

" It's a very nice experience to have GoLang training with Gaurav Gupta. The course material and the way of guiding us is very good."

- Mukteshwar Pandey
F

"Training sessions were very useful with practical example and it was overall a great learning experience. Thank you Multisoft."

- Faheem Khan
R

"It has been a very great experience with Diwakar. Training was extremely helpful. A very big thanks to you. Thank you Multisoft."

- Roopali Garg
S

"Agile Training session were very useful. Especially the way of teaching and the practice session. Thank you Multisoft Virtual Academy"

- Sruthi kruthi
G

"Great learning and experience on Golang training by Gaurav Gupta, cover all the topics and demonstrate the implementation."

- Gourav Prajapati
V

"Attended a virtual training 'Data Modelling with Python'. It was a great learning experience and was able to learn a lot of new concepts."

- Vyom Kharbanda
J

"Training sessions were very useful. Especially the demo shown during the practical sessions made our hands on training easier."

- Jupiter Jones
A

"VBA training provided by Naveen Mishra was very good and useful. He has in-depth knowledge of his subject. Thankyou Multisoft"

- Atif Ali Khan

Our Corporate Clients