Corporate Introduction to Deep Learning Training Course

Edstellar’s Introduction to Deep Learning training course empowers professionals with the ability to design, implement, and optimize neural network models for various real-world tasks. Professionals are exposed to neural network architecture, learning mechanisms, linear algebra, probability theory, Monte Carlo methods and other topics.

32 - 40 hrs
Instructor-led (On-site/Virtual)
Language
English
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Introduction to Deep Learning Training
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Introduction to Deep Learning Corporate Training Course

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Drive Team Excellence with Introduction to Deep Learning Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Introduction to Deep Learning Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Introduction to Deep Learning corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Introduction to Deep Learning group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Deep learning, a subset of machine learning, employs intricate artificial neural networks to perform tasks, leveraging hierarchical layers of abstraction for complex data representation. It has redefined data processing paradigms by automating tasks and enabling the development of innovative solutions in various domains. Professionals trained in deep learning gain expertise in designing, training, and deploying advanced neural network architectures, empowering them to create transformative artificial intelligence applications tailored to specific organizational needs.

Edstellar’s Introduction to Deep Learning training course is offered in online and virtual formats to ensure a comprehensive learning experience. The distinctive practical experience gained empowers professionals to apply Deep Learning principles seamlessly in real-world scenarios. Edstellar ensures that professionals grasp theoretical concepts and acquire practical skills.

Key Skills Employees Gain from Deep Learning Training

Deep Learning skills corporate training will enable teams to effectively apply their learnings at work.

  • Hyperparameter Tuning
  • Real-world Applications
  • Model Implementation
  • Neural Network Types
  • Challenges Awareness
  • Interpretability Understanding

Introduction to Deep Learning Training for Employees: Key Learning Outcomes

Edstellar’s Introduction to Deep Learning training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Introduction to Deep Learning workshop, teams will to master essential Introduction to Deep Learning and also focus on introducing key concepts and principles related to Introduction to Deep Learning at work.


Employees who complete Introduction to Deep Learning training will be able to:

  • Implement advanced image recognition algorithms, enhancing the team's capability to develop cutting-edge computer vision applications
  • Integrate reinforcement learning principles into systems, allowing the team to create adaptive and self-learning applications for improved decision-making
  • Employ transfer learning strategies, which will enable the team to efficiently leverage pre-trained models and accelerate the development of new AI applications
  • Construct and optimize deep neural networks for tasks such as speech recognition, empowering the team to design efficient and accurate voice-based interfaces
  • Apply natural language processing techniques to create sophisticated language models, improving the team's proficiency in developing language-based AI applications

Key Benefits of the Introduction to Deep Learning Corporate Training

Attending our Introduction to Deep Learning classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Introduction to Deep Learning training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Introduction to Deep Learning.

  • Learn about the importance and transformative impact of Deep Learning
  • Learn practical applications like image recognition and natural language processing
  • Gain exposure to the advanced concepts of autoencoders and computational graphs
  • Understand various libraries and frameworks for implementing deep learning models
  • Gain a thorough understanding of neural network architecture and learning mechanisms

Introduction to Deep Learning Training Topics and Outline

Our virtual and on-premise Introduction to Deep Learning training curriculum is divided into multiple modules designed by industry experts. This Introduction to Deep Learning training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Importance of Deep Learning
    • Transformative impact on industries
    • Driving innovation in AI
  2. How deep learning works
    • Neural network architecture
    • Learning mechanisms (supervised, unsupervised, reinforcement)
  3. Differences between Deep Learning and machine learning
    • Depth of neural networks
    • Feature representation and abstraction
  1. Basics of neural networks
    • Perceptrons and multilayer perceptrons
    • Learning algorithms (backpropagation)
  2. Neuron structure and function
    • Activation functions
    • Weight initialization techniques
  1. Feedforward networks
    • Forward propagation
    • Model training and optimization
  2. Convolutional networks
    • Convolutional layers
    • Pooling and striding
  3. Recurrent and recursive networks
    • Memory cells (LSTM, GRU)
    • Sequence modeling
  1. Basics of linear algebra
    • Vectors and matrices
    • Operations (addition, multiplication)
  2. Matrix operations
    • Transpose, inverse, determinant
    • Eigenvalues and eigenvectors
  1. Random variables
    • Discrete and continuous variables
    • Probability mass functions
  2. Probability distributions
    • Normal, uniform, Bernoulli
    • Marginal probability
    • Conditional probability
    • Chain rule of conditional probabilities
    • Bayes’ rule
  1. Encoder and decoder architecture
    • Hidden layers and bottleneck
  2. Applications of autoencoders
    • Dimensionality reduction
    • Anomaly detection
  1. Basics of computational graphs
    • Nodes and edges
    • Directed Acyclic Graphs (DAG)
  2. Forward and backward propagation
    • Calculating gradients
    • Chain rule in graphs
  1. Introduction to Monte Carlo methods
    • Sampling techniques
    • Integration using sampling
  2. Markov Chain Monte Carlo (MCMC)
    • Metropolis-Hastings algorithm
    • Gibbs sampling
  3. Applications in Deep Learning
    • Bayesian inference
    • Uncertainty estimation
  1. Boltzmann machines
    • Energy-based models
    • Contrastive divergence
  2. Variational autoencoders
    • Latent variable models
    • Inference and generation
  1. Image recognition
    • Convolutional Neural Networks (CNN)
    • Transfer learning
  2. Natural language processing
    • Word embeddings
    • Recurrent Neural Networks (RNN)
  3. Speech recognition
    • Acoustic modeling
    • Connectionist Temporal Classification (CTC)
  1. Overview of Deep Learning Libraries
    • TensorFlow, PyTorch, Keras
  2. TensorFlow and PyTorch
    • Installation and setup
    • Building neural networks
  3. Choosing the right framework for a project
    • Considerations and trade-offs
    • Case studies and best practices

This Corporate Training for Introduction to Deep Learning is ideal for:

What Sets Us Apart?

Introduction to Deep Learning Corporate Training Prices

Our Introduction to Deep Learning training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Introduction to Deep Learning training cost and take the first step toward maximizing your team's potential.

Small Group
Large Groups

Request for a quote to know about our Introduction to Deep Learning corporate training cost and plan the training initiative for your teams. Our cost-effective Introduction to Deep Learning training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Introduction to Deep Learning training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

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Introduction to Deep Learning Course Completion Certificate

Upon successful completion of the Introduction to Deep Learning training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Introduction to Deep Learning Training Course

The Introduction to Deep Learning training course is ideal for data scientists, machine learning engineers, research scientists, software developers, Artificial Intelligence (AI)/Machine Learning (ML) product managers, business analysts, and finance professionals.

The Introduction to Deep Learning training program can also be taken by professionals at various levels in the organization.

Introduction to Deep Learning training for managers

Introduction to Deep Learning training for staff

Introduction to Deep Learning training for leaders

Introduction to Deep Learning training for executives

Introduction to Deep Learning training for workers

Introduction to Deep Learning training for businesses

Introduction to Deep Learning training for beginners

Introduction to Deep Learning group training

Introduction to Deep Learning training for teams

Introduction to Deep Learning short course

Prerequisites for Introduction to Deep Learning Training

Professionals with a basic understanding of Python, Linear Algebra, and Probability can take up the Introduction to Deep Learning training course.

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Bringing you the Best Introduction to Deep Learning Trainers in the Industry

The instructor-led Introduction to Deep Learning training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Introduction to Deep Learning Access practices.

Lakshmi
Lakshmi
Bengaluru, India
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July, 2016
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Liqzan
Bhatkal, India
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January, 2016
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Akhilesh
Bengaluru, India
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January, 2016
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Sumit
Bengaluru, India
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July, 2020
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Kumar
Belgaum, India
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October, 2007
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Chandrika
Chandrika
Mumbai, India
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January, 2016
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Training Delivery Modes for Introduction to Deep Learning Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Introduction to Deep Learning training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Virtuval
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

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On-Site
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

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Off-Site
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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