Corporate Deep Learning with TensorFlow Training Course

Edstellar’s Deep Learning with TensorFlow instructor-led training course equips professionals with advanced skills in AI and machine learning. The course covers the fundamentals of TensorFlow, activation functions, and deep learning techniques. Upskill your team to gain proficiency in deep learning techniques using TensorFlow.

24 - 32 hrs

Instructor-led (On-site/Virtual)

English

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About Learning Outcomes Benefits Course Outline Pricing Target Audience Pre-Requisites Trainers

Drive Team Excellence with Deep Learning with TensorFlow Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Deep Learning with TensorFlow Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Deep Learning with TensorFlow corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Deep Learning with TensorFlow 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 with TensorFlow is the application of deep learning techniques using the TensorFlow framework, an open-source library developed by Google for building and deploying machine learning models. The course helps professionals by enabling them to leverage advanced artificial intelligence techniques to analyze vast amounts of data, uncover valuable insights, and innovate across various domains. Deep Learning with TensorFlow training empowers professionals to develop innovative solutions, optimize processes, and drive teams growth.

Edstellar's virtual/onsite Deep Learning with TensorFlow training course provides customization and employs cutting-edge methodologies. Our trainers are highly regarded for their expertise in delivering the Deep Learning with TensorFlow instructor-led training course and possess vast experience in navigating the intricacies of the framework for building and deploying neural networks, optimizing models, and interpreting results.

Key Skills Employees Gain from Deep Learning with TensorFlow Training

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

TensorFlow Documentation Analysis
Neural Network Architecture Design
Practical Implementation with TensorFlow
Hyperparameter and Parameter Optimization
Deep Learning Experimentation
Transfer Learning

Deep Learning with TensorFlow Training for Employees: Key Learning Outcomes

Edstellar’s Deep Learning with TensorFlow 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 Deep Learning with TensorFlow workshop, teams will to master essential Deep Learning with TensorFlow and also focus on introducing key concepts and principles related to Deep Learning with TensorFlow at work.

Employees who complete Deep Learning with TensorFlow training will be able to:

Analyze TensorFlow documentation and resources to implement deep learning algorithms
Design customized neural network architectures tailored to specific problem domains
Implement theoretical knowledge into practical solutions using TensorFlow
Optimize hyperparameters and model parameters to enhance performance
Troubleshoot and resolve common issues encountered during model training and evaluation
Modify pre-trained models for transfer learning and domain-specific applications
Experiment with various deep learning techniques and frameworks to innovate solutions

Key Benefits of the Deep Learning with TensorFlow Corporate Training

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

Equips the team with the techniques to develop and deploy deep learning models using TensorFlow
Empowers professionals with the skills to optimize neural network architectures for improved performance
Provides team with insights into advanced activation functions and regularization techniques
Instills ideas in professionals for leveraging deep learning for image and speech recognition applications
Develops required skills in teams to compute gradients efficiently

Deep Learning with TensorFlow Training Topics and Outline

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

Introduction to TensorFlow

Overview of TensorFlow and its ecosystem
- History and development of TensorFlow
- Key features and functionalities
- Comparison with other deep learning frameworks
- TensorFlow ecosystem
Installation and setup
- Different installation methods
- Setting up virtual environments
- GPU and TPU support
Basics of tensor operations
- Understanding tensors
- Creating and manipulating tensors
- Common tensor operations
- Introduction to data types and shapes

Artificial Neural Networks

Fundamentals of neural networks
- Biological inspiration and analogy
- Perceptrons: the building block of neural networks
- Activation functions and their role
- Learning and training process
Building a simple neural network in TensorFlow
- Defining the network architecture
- Implementing forward pass and backpropagation
- Training the network on a dataset
Understanding layers and neurons
- Different types of layers
- Activation functions specific to different layers
- Hyperparameters and their impact on network performance

Activation Functions

Role of activation functions in neural networks
- Introducing non-linearity into the network
- Mapping input values to output values
- Choosing appropriate functions for different scenarios
Popular activation functions
- Sigmoid function and its limitations
- ReLU (Rectified Linear Unit) and its variations
- Tanh function and its properties
- Softmax function for multi-class classification
Selecting appropriate activation functions for different tasks
- Choosing based on data distribution and task type
- Understanding the impact of different activations

Deep Learning Techniques

Convolutional neural networks (CNNs) for image recognition
- Convolutional layers and pooling operations
- Architectures for image classification
- Applications in object
Recurrent neural networks (RNNs) for sequence modeling
- Understanding sequence data and its challenges
- Vanilla RNNs, LSTMs, and GRUs
- Applications in machine translation, text generation, etc.
Generative Adversarial Networks (GANs) for generating synthetic data
- Generative model and discriminative model in a GAN
- Training process and challenges
- Applications in image generation

Deep Learning Applications

Image classification and object detection
- Preprocessing and preparing image data
- Training and evaluating models for different tasks
- Real-world applications
Natural Language Processing (NLP) tasks such as sentiment analysis and text generation
- Text preprocessing and tokenization
- Word embeddings and language models
- Applications in sentiment analysis
Recommendation systems using collaborative filtering:
- Matrix factorization and user-item interactions
- Building recommender systems
- Applications in e-commerce

Computing Gradients

Understanding gradients and their role in optimization
- The concept of gradients and their calculation
- Relating gradients to learning and weight updates
- Visualization of gradients
Automatic differentiation in TensorFlow
- TensorFlow's built-in functionality for calculating gradients
- Simplifying the process of backpropagation
- Using tf.GradientTape for efficient gradient calculation
Gradient descent optimization algorithms
- Stochastic Gradient Descent (SGD) and its variants
- Tuning learning rate and other hyperparameters
- Monitoring loss function and optimizing for convergence

Single-Layer and Multi-Layer Perceptron

Building and training single-layer perceptrons
- Implementing logic gates (AND, OR, etc.) using perceptrons
- Training on simple datasets and visualizing results
- Limitations of single-layer perceptrons
Extending to Multi-Layer Perceptrons (MLPs) for more complex tasks
- Adding hidden layers and increasing network capacity
- Understanding the backpropagation process in MLPs
- Training MLPs on more complex datasets
Practical applications and case studies
- Using MLPs for image classification
- Real-world examples and case studies

This Corporate Training for Deep Learning with TensorFlow is ideal for:

What Sets Us Apart?

Deep Learning with TensorFlow Corporate Training Prices

Our Deep Learning with TensorFlow 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 Deep Learning with TensorFlow training cost and take the first step toward maximizing your team's potential.

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

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Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Deep Learning with TensorFlow 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

Target Audience for Deep Learning with TensorFlow Training Course

The Deep Learning with TensorFlow training course is ideal for data scientists, software engineers, researchers, natural language processing engineers, automotive engineers, and robotics engineers.

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

Deep Learning with TensorFlow training for managers

Deep Learning with TensorFlow training for staff

Deep Learning with TensorFlow training for leaders

Deep Learning with TensorFlow training for executives

Deep Learning with TensorFlow training for workers

Deep Learning with TensorFlow training for businesses

Deep Learning with TensorFlow training for beginners

Deep Learning with TensorFlow group training

Deep Learning with TensorFlow training for teams

Deep Learning with TensorFlow short course

Prerequisites for Deep Learning with TensorFlow Training

Professionals with a basic understanding of the Python programming language can take up the Deep Learning with TensorFlow training course.

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Bringing you the Best Deep Learning with TensorFlow Trainers in the Industry

The instructor-led Deep Learning with TensorFlow 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 Deep Learning with TensorFlow Access practices.

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Training Delivery Modes for Deep Learning with TensorFlow 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 Deep Learning with TensorFlow 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.

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

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

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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Corporate Deep Learning with TensorFlow Training Course

Drive Team Excellence with Deep Learning with TensorFlow Training for Employees

Key Skills Employees Gain from Deep Learning with TensorFlow Training

Deep Learning with TensorFlow Training for Employees: Key Learning Outcomes

Key Benefits of the Deep Learning with TensorFlow Corporate Training

Deep Learning with TensorFlow Training Topics and Outline

Introduction to TensorFlow

Artificial Neural Networks

Activation Functions

Deep Learning Techniques

Deep Learning Applications

Computing Gradients

Single-Layer and Multi-Layer Perceptron

This Corporate Training for Deep Learning with TensorFlow is ideal for:

What Sets Us Apart?

Deep Learning with TensorFlow Corporate Training Prices

Target Audience for Deep Learning with TensorFlow Training Course

Prerequisites for Deep Learning with TensorFlow Training

Assess the Training Effectiveness

Bringing you the Best Deep Learning with TensorFlow Trainers in the Industry

Request a Training Quote

Training Delivery Modes for Deep Learning with TensorFlow Group Training

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