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.

Duration

24 - 32 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Get a Training Quote

Drive Team Excellence with Deep Learning with TensorFlow Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Deep Learning with TensorFlow Training through Edstellar, a premier Deep Learning with TensorFlow training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training 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
TensorFlow Documentation Analysis involves interpreting and understanding TensorFlow's documentation to effectively implement machine learning models. This skill is important for data scientists and ML engineers, as it ensures accurate model development and troubleshooting.
Neural Network Architecture Design
Neural Network Architecture Design involves creating optimal structures for neural networks to solve specific problems. This skill is important for AI developers and data scientists, as it enhances model performance and efficiency in tasks like image recognition and natural language processing.
Practical Implementation with TensorFlow
Practical Implementation With TensorFlow involves applying TensorFlow to build, train, and deploy machine learning models. This skill is important for data scientists and AI engineers, as it enables them to create effective solutions for real-world problems.
Hyperparameter and Parameter Optimization
Hyperparameter and Parameter Optimization involves fine-tuning model settings to enhance performance. This skill is important for data scientists and machine learning engineers to ensure accurate, efficient models.
Deep Learning Experimentation
Deep Learning Experimentation involves designing, testing, and refining neural network models. This skill is important for data scientists and AI engineers to optimize performance and innovate solutions.
Transfer Learning
Transfer Learning is a machine learning technique where knowledge gained from one task is applied to a different but related task. This skill is important for data scientists and AI engineers as it enhances model efficiency, reduces training time, and improves performance on limited data.

Key Learning Outcomes of Deep Learning with TensorFlow Training Workshop for Employees

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 Group Training

Attending our Deep Learning with TensorFlow classes tailored for corporations offers numerous advantages. Through our Deep Learning with TensorFlow group 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

Topics and Outline of Deep Learning with TensorFlow Training

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

Who Can Take the Deep Learning with TensorFlow Training Course

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

Deep Learning Engineers
Data Scientists
Product Managers
Machine Learning Engineers
Research Scientists
Software Developers
AI Researchers
Computer Vision Engineers
NLP Engineers
Data Engineers
Predictive Modelers
Robotics Engineers

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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Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Deep Learning with TensorFlow Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Deep Learning with TensorFlow training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Edstellar's Deep Learning with TensorFlow virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations

The consistent training quality ensures uniform learning outcomes

Participants can attend training in their own space without the need for traveling

Organizations can scale learning by accommodating large groups of participants

Interactive tools can be used to enhance learning engagement

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Edstellar's Deep Learning with TensorFlow inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction

Workplace environment can be tailored to learning requirements

Team collaboration and knowledge sharing improves training effectiveness

Demonstration of processes for hands-on learning and better understanding

Participants can get their doubts clarified and gain valuable insights through direct interaction

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Edstellar's Deep Learning with TensorFlow offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement

Team bonding can be improved through activities

Dedicated schedule for training away from office set up can improve learning effectiveness

Boosts employee morale and reflects organization's commitment to employee development

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Edstellar: Your Go-to Deep Learning with TensorFlow Training Company

Experienced Trainers

Our trainers bring years of industry expertise to ensure the training is practical and impactful.

Quality Training

With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

Industry-Relevant Curriculum

Our course is designed by experts and is tailored to meet the demands of the current industry.

Customizable Training

Our course can be customized to meet the unique needs and goals of your organization.

Comprehensive Support

We provide pre and post training support to your organization to ensure a complete learning experience.

Multilingual Training Capabilities

We offer training in multiple languages to cater to diverse and global teams.

Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

"Edstellar's IT Service Management training has been transformative. Our IT teams have seen significant improvements through multiple courses delivered at our office by expert trainers. Excellent feedback has prompted us to extend the training to other teams."

Liam Anderson

HR Head,

A Global Technology Company

Get Your Team Members Recognized with Edstellar’s Course Certificate

Upon successful completion of the Deep Learning with TensorFlow training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

We have Expert Trainers to Meet Your Deep Learning with TensorFlow Training Needs

The instructor-led 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 Access practices.

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Edstellar is a one-stop instructor-led corporate training and coaching solution that addresses organizational upskilling and talent transformation needs globally. Edstellar offers 2000+ tailored programs across disciplines that include Technical, Behavioral, Management, Compliance, Leadership and Social Impact.

Corporate Deep Learning with TensorFlow Training Course

Drive Team Excellence with Deep Learning with TensorFlow Corporate Training

Key Skills Employees Gain from Deep Learning with TensorFlow Training

Key Learning Outcomes of Deep Learning with TensorFlow Training Workshop for Employees

Key Benefits of the Deep Learning with TensorFlow Group Training

Topics and Outline of Deep Learning with TensorFlow Training

Introduction to TensorFlow

Artificial Neural Networks

Activation Functions

Deep Learning Techniques

Deep Learning Applications

Computing Gradients

Single-Layer and Multi-Layer Perceptron

Who Can Take the Deep Learning with TensorFlow Training Course

Prerequisites for Deep Learning with TensorFlow Training

Corporate Group Training Delivery Modes for Deep Learning with TensorFlow Training

Explore Our Customized Pricing Package forDeep Learning with TensorFlow Corporate Training

Edstellar: Your Go-to Deep Learning with TensorFlow Training Company

Experienced Trainers

Quality Training

Industry-Relevant Curriculum

Customizable Training

Comprehensive Support

Multilingual Training Capabilities

What Our Clients Say

Get Your Team Members Recognized with Edstellar’s Course Certificate

We have Expert Trainers to Meet Your Deep Learning with TensorFlow Training Needs

Other Related Corporate Training Courses

Explore More Courses

Corporate Group Training Delivery Modes
for Deep Learning with TensorFlow Training

Explore Our Customized Pricing Package for
Deep Learning with TensorFlow Corporate Training