What You'll Learn
Learn TensorFlow basics to build and deploy machine learning models with ease.
Master creating neural networks for tasks like image recognition and natural language processing.
Explore TensorFlow’s data pipeline tools to efficiently handle large datasets in TensorFlow Online Course.
Understand model training, evaluation, and optimization techniques for better accuracy.
Gain hands-on experience with TensorFlow Hub and TensorBoard for model management.
Enroll in the TensorFlow Online Training format for flexible, practical AI learning.
TensorFlow Training Objectives
- Not really, despite the numbers you see, keep in mind the 'Google' crowd alone will be enough to keep TensorFlow alive as far as it's suitability of research. Furthermore, TensorFlow 2.0 may appeal to the research audience with eager mode and native Keras integration..
- A myriad of tools and frameworks run in the background which makes Tesla's futuristic features a great success. One such framework is PyTorch. PyTorch has gained popularity over the past couple of years and it is now powering the fully autonomous objectives of Tesla motors
- PyTorch has long been the preferred deep-learning library for researchers, while TensorFlow is much more widely used in production. PyTorch's ease of use combined with the default eager execution mode for easier debugging predestines it to be used for fast, hacky solutions and smaller-scale models..
- Finally, Tensorflow is much better for production models and scalability. It was built to be production ready. Whereas, PyTorch is easier to learn and lighter to work with, and hence, is relatively better for passion projects and building rapid prototypes.
- It's so complicated in large part because the core APIs have been totally redesigned about 3 different times. Standard TF code today looks totally different than 3 years ago. So it's hard to piece together all the tutorials you find since they're often approach similar things completely differently..
- TensorFlow provides pre-built functions and advanced operations to ease the task of building different neural network models. It provides the required infrastructure and hardware which makes them one of the leading libraries used extensively by researchers and students in the deep learning domain.
- Just start learning it. 2 weeks. after 1 or 2 days, you will be good enough to train your own classifier with CNN, using Regularization techniques. Keras as part of tf 2 is pretty easy and can be learned within a week.
- Software developers
- Web designers
- Programming enthusiasts
- Engineering graduates
- Students who all want to become TensorFlow developers
- TensorFlow is an open-source library developed by Google primarily for deep learning applications. It also supports traditional machine learning. TensorFlow was originally developed for large numerical computations without keeping deep learning in mind.
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TensorFlow Course Benefits
TensorFlow Certification Course offers hands-on learning in building and deploying machine learning models using the TensorFlow framework. The course covers neural networks, deep learning, data preprocessing, and model optimization techniques. Learners gain practical experience with real-world projects, enhancing skills in AI and data science. This training is ideal for developers and data scientists aiming to excel in machine learning and artificial intelligence applications. Additionally, a TensorFlow internship is available to provide real-world experience and deepen practical understanding of ML projects.
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Annual SalaryHiring Companies
About TensorFlow Certification Training
Our TensorFlow Online Training delivers hands-on learning in building and deploying machine learning models using TensorFlow. Covering deep learning, neural networks, and AI concepts, this course blends theory with real-world TensorFlow projects. Ideal for beginners and data scientists, it offers expert guidance and 100% TensorFlow course with placement support to help you excel in AI development and advance your career confidently.
Top Skills You Will Gain
- Model Building
- Data Preprocessing
- Neural Networks
- Tensor Operations
- Model Optimization
- GPU Utilization
- Deployment Techniques
- Debugging Models
12+ TensorFlow Tools
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why TensorFlow Course From Learnovita? 100% Money Back Guarantee
TensorFlow Course Curriculam
Trainers Profile
Our TensorFlow Online Training is delivered by seasoned AI and machine learning professionals with deep expertise in building and deploying neural networks using TensorFlow. These trainers bring the latest industry knowledge and hands-on experience to help learners master TensorFlow’s powerful tools and frameworks. Through practical projects and real-world examples, they guide students in developing scalable machine learning models and understanding complex concepts with ease. Their commitment ensures trainees gain the skills needed to excel in AI-driven roles and advance their careers confidently.
Syllabus for TensorFlow Course Download syllabus
- Framework Introduction
- Installation Setup
- Tensor Concepts
- Computational Graphs
- Sessions Usage
- Dataset API
- Data Pipelines
- Data Augmentation
- Preprocessing Functions
- Batch Processing
- Shuffle Operations
- Mathematical Ops
- Tensor Reshaping
- Indexing Slicing
- Broadcasting Rules
- Reduction Ops
- Concatenation Methods
- Variable Initialization
- Constant Usage
- Placeholders Concept
- Resource Variables
- Variable Scopes
- Sequential Models
- Functional API
- Layers Overview
- Model Compilation
- Custom Layers
- Callbacks Usage
- Loss Functions
- Optimizers Setup
- Metrics Tracking
- Gradient Descent
- Epochs Batch
- Dense Layers
- Activation Functions
- Dropout Layers
- Batch Normalization
- Convolutional Layers
- Validation Sets
- Confusion Matrix
- Precision Recall
- ROC Curves
- Hyperparameter Tuning
- Cross Validation
- Checkpoint Saving
- Model Serialization
- SavedModel Format
- Exporting Models
- Loading Models
- TensorFlow Lite
- TensorFlow Serving
- Edge Deployment
- Cloud Integration
- REST APIs
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Phone (For Voice Call):
+91 89258 75257
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+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
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Exam & TensorFlow Certification
- Participate and Complete One batch of TensorFlow Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the TensorFlow Certification course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Our Student Successful Story
How are the TensorFlow Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher TensorFlow Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical TensorFlow Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant TensorFlow Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world TensorFlow Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized TensorFlow Certifications With Global Validity.
Basic TensorFlow Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to TensorFlow Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
TensorFlow Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
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