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Deep Learning Course with TensorFlow Online Training

Deep Learning is an artificial intelligence subfield that relies on data representations rather than task-specific algorithms. Many applications are the by-product of Deep Learning techniques starting from driving automobiles, movie suggestions on different streaming platforms, word suggestions provided when writing the WhatsApp message, etc. The market needs a lot of deep learning skills because you need to understand the algorithms and have excellent basic machine learning concepts.

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Deep Learning Course with TensorFlow Online Training Overview

The Deep Learning with TensorFlow course was designed by industry experts and aligned with the latest best practices to transform you into a deep learning expert. The workshop will enable you to understand the foundations of Deep Learning and how to build neural networks. Adam, Dropout, BatchNorm, Convolutional Networks, RNNs, LSTM, and more will also be taught. To get hands-on experience, you'll be working on real-life case studies. To have comprehensive hands-on practice and exposure to initiatives in the real-life field that will be carried out using Deep Learning. You'll be able to apply your new TensorFlow skills to a wide variety of problems and projects after completing this program. This course can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to the Google TensorFlow Certificate.

Deep Learning Course with TensorFlow Training will:

  • Once you enroll in the TensorFlow Deep Learning Course, you are welcome to participate free of charge in any future batches. If you have any doubts, our support team will help you clear up your technical doubts.
  • Machine Learning will have an impact on every domain of computing, such as data analysis, software engineering, and artificial intelligence. Therefore, every engineer, researcher, manager, or scientist would be expected to know about Machine Learning.
  • The laboratory will test your realistic skills. Regression exercises, classification exercises, Time Series exercises, and Linear Autoencoder for PCA exercises are assignments and the best models are evaluated. The deep learning projects will give you a full understanding of the TensorFlow implementation of neural networks.
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Deep Learning Course with TensorFlow Training Objectives

  • Tensorflow is the most popular and apparently best Deep Learning Framework out there. Tensorflow can be used to achieve all of these applications. The reason for its popularity is the ease with which developers can build and deploy applications.
  • Yes. It's worth to study. Without Tensorflow we can't train the models in deeplearning.
  • Maybe Its an Big Advantage to your future profession.
  • Deep practical knowledge & Hands-on lab.
  • Real-time project use cases & scenarios from the various Industries.
  • Mock Tests and discussing various questions.
  • LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
  • Market entry to various countries and jobs in major corporate.
  • Immediate job opportunities after Completion of training.
  • Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
  • Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
  • You must be comfortable with variables, linear equations, graphs of functions, histograms, and statistical means.
  • You should be a good programmer. Ideally, you should have some experience programming in Python because the programming exercises are in Python.
  • However, it is not necessary for you to learn the machine learning algorithms that are not a part of machine learning in order to learn deep learning. Instead, if you want to learn deep learning then you can go straight to learning the deep learning models if you want to.
  • 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.
  • TensorFlow: Data and Deployment: DeepLearning.AI.
  • Advanced Machine Learning with TensorFlow on Google Cloud Platform: Google Cloud.
  • IBM AI Engineering: IBM.
  • Getting Started with Tensorflow 2: Coursera Project Network.
  • Build a strong foundation of deep learning
  • But only studying will never help you unless you apply the concepts practically. TensorFlow gives you that platform, and when you gain experience of using it, you'll understand what problems are encountered while designing models to solve real-world issues.
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Top Companies Placement

Deep Learning Engineers are responsible for coordinating the creation of such models. They acquire the labeled data and ensure the training data needed for algorithms. They're in charge of creating structures that can efficiently move data and writing complex programming codes and rewarded with substantial pay raises shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 4.40L
    Min
  • 8.5L
    Average
  • 18.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 17.5L
    Max
  • 4.0L
    Min
  • 9.5L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max
Top Skills You Will Gain
  • LTSM Basics
  • Linear Regression With Tensorflow
  • Activation Functions
  • Deep Neural Networks
  • Convolutional Networks
  • MNIST Data Classification
  • Training RBMs
  • Autoencoders, The RNN Model

Online Classroom Batches Preferred

Weekdays (Mon - Fri)
16-June-2025
08:00 AM (IST)
Weekdays (Mon - Fri)
18-June-2025
08:00 AM (IST)
Weekend (Sat)
21-June-2025
11:00 AM (IST)
Weekend (Sun)
22-Jun-2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

Deep Learning Course with TensorFlow Course Curriculam

Trainers Profile

Trainers are certified professionals with 10+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Deep Learning Course with TensorFlow Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

Should have familiarity with programming fundamentals, a fair understanding of the basics of statistics and mathematics, and a good understanding of machine learning concepts.

Syllabus of Deep Learning Course with TensorFlow Online Course Download syllabus

  • 1. Introduction to Deep Learning
  • 2. Introduction to Numpy
  • 3. Introduction to Tensorflow and Keras
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  • 1. Solution of Equations, row and column Interpretation
  • 2. Vector Space Properties
  • 3. Partial Derivative of Polynomial and Two conditions for Local Minima
  • 4. Physical Interpretation of gradient (Direction of Maximum Change)
  • 5. Matrix Vector Multiplication
  • 6. EVD and interpretation of Eighen Vectors
  • 7. Linear Independence and Rank of Matrix
  • 8. Orthonormal Matrices, Projection Matrices, Vandemonde Matrix, Markov Matrix, Symmetric, Block Diagonal
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  • 1. Intuition behind Linear Regression, classification
  • 2. Grid Search
  • 3. Gradient Descent
  • 4. Training Pipeline
  • 5. Metrics ROC Curve, Precision Recall Curve
  • 6. Calculating Entropy
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  • 1. Evolution of Perceptrons, Hebbs Principle, Cat Experiment
  • 2. Single layer NN
  • 3. Tensorflow Code
  • 4. Multilayer NN
  • 5. Back propagation, Dynamic Programming
  • 6. Mathematical Take on NN
  • 7. Function Approximator
  • 8. Link with Linear Regression
  • 9. Dropout and Activation
  • 10. Optimizers and Loss Functions
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  • 1. 1D and 2D Convolution
  • 2. Why CNN for Images and speech?
  • 3. Convolution Layer
  • 4. Coding Convolution Layer
  • 5. Learning Sharpening using single convolution Layer in Tensor-Flow
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  • 1. Convolution
  • 2. Pooling
  • 3. Activation
  • 4. Dropout
  • 5. Batch Normalization
  • 6.Object Classification
  • 7. Creating Batch in Tensorflow and Normalize
  • 8. Training MNIST and CIFAR datasets
  • 9. Understanding a pre-trained Inception Architecture
  • 10. Input Augmentation Techniques for Images
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  • 1. Finetuning last layers of CNN Model
  • 2. Selecting appropriate Loss
  • 3. Adding a new class in the last Layer
  • 4. Making a model Fully Convolutional for Deployment
  • 5. Finetune Imagenet for Cats vs Dog Classification.
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  • 1. Different types of problem in Objects
  • 2. Difficulties in Object Detection and Localization
  • 3. Fast RCNN
  • 4. Faster RCNN
  • 5. YOLO v1-v3
  • 6. SSD
  • 7. MobileNet
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  • 1. Image Compression Simple Autoencoder
  • 2. Denoising Autoencoder
  • 3. Variational Autoencoder and Reparematrization Trick
  • 4. Robust Word Embedding using Variational Autoencoder
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  • 1. Evolution of Recurrent Structures
  • 2. LSTM, RNN, GRU, Bi-RNN, Time-Dense
  • 3. Learning a Sine Wave using RNN in Tensorflow
  • 4. Creating Autocomplete for Harry Potter in Tensorflow
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  • 1. Generative vs Discrimative Models
  • 2. Theory of GAN
  • 3. Simple Distribution Generator in Tensorflow using MCMC (Markov Chain Monte Carlo)
  • 4. DCGAN,WGANs for Images
  • 5. InfoGANs, CycleGANs and Progressive GANs
  • 6. Creating a GAN for generating Manga Art
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  • 1. Model Free Prediction
  • 2. Monte Carlo Prediction and TD Learning
  • 3. Model Free Control with REINFORCE and SARSA Learning
  • 4. Assignment : Implementation of REINFORCE and SARSA Learning in Gridworld
  • 5. Off policy vs On Policy Learning
  • 6. Importance Sampling for Off Policy Learning
  • 7. Q Learning
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  • 1. Understanding Deep Learning as Function Approximator
  • 2. Theory of Behavioral Cloning and Deep Q Learning
  • 3. Revisiting Point Collector Example in Unity and
  • 4. Assignment : Training Cartpole Example via Deep Q Learning
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  • 1. Face Detection using Yolo-v3
  • 2. Building Autocomplete Feature using RNNs
  • 3. Real-time Depth Prediction and Pose Estimation
  • 4. How is Deep Learning used in Autonomous Driver Assistant systems
  • 5. Tips and Tricks for scaling and easy Deployment of Deep Learning Models
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Industry Projects

Project 1
PUBG Players Finishing Placement Prediction

Create a model that predicts players’ finishing placement based on their final stats, on a scale of 1 (first place) to 0 (last place).

Project 2
Lending Club Loan Data Analysis

Create a model that predicts whether a loan will go into default using the historical data.

Project 3
Employee Management System (EMS)

Create a new system to automate the regulation creation and closure process.

Career Support

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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Deep Learning Course with TensorFlow Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Deep Learning Course with TensorFlow Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Deep Learning Course with TensorFlow Training course. It helps you to prepare for the actual Deep Learning Course with TensorFlow Certification exam. You can try this free Deep Learning Course with TensorFlow Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Deep Learning Course with TensorFlow Certification Path.
  • 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.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Deep Learning Course with TensorFlow Developers.

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Deep Learning Course with TensorFlow Course FAQ's

LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
  • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
  • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
  • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
  • LearnoVita Certification is Accredited by all major Global Companies around the World.
  • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
  • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
  • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Deep Learning Course with TensorFlow batch to 5 or 6 members
Learning Deep Learning Course with TensorFlow can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Deep Learning Course with TensorFlow. Mastering Deep Learning Course with TensorFlow can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Deep Learning Course with TensorFlow Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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