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Deep Learning in TensorFlow Training in Chennai |
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Deep Learning in TensorFlow Training in Chennai
Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn.
DThe Deep Learning is a subarea of the Machine Learning that makes use of Deep Neural Networks (with many layers) and specific novel algorithms for the pre-processing of data and regularisation of the model. Deep learning affected business applications as never happened in Machine Learning before.
We offer job assistance (subject to project availability and partner requirements) for positions in India, Singapore, Dubai and the UK.
About The Trainer
Karthik has delivered customised training courses for many of the world's best-known brands - and would be happy to consider delivering training for your business, too.
We will cover all major business and technology trends, including Big Data, Machine Learning, the Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality, Blockchains, Virtual Reality (VR) and
robotics, the sharing economy, the rise of platform business models, crowd sourcing, and the ‘as a service’ business model.
Flexible Timings / Weekend classes AvailableTalk to the Trainer @ +91-89399 15572
FREE Demo Session:
Try two FREE CLASS to see for yourself the quality of training.
Free Materials Povided during Demo sessions
Awarded as the Best Deep Learning in TensorFlow Training Center in Chennai - We Guarantee Your Deep Learning in TensorFlow Training Success in Chennai
Deep Learning in TensorFlow Training Modes
24x7 (Lab) Support with Real-time Databases. Course includes ONE Real-time Project. Register Today
Job-Oriented Real-time Training @ Greens Technology Training Institute
Course Description
In this Deep Learning in TensorFlow with Python Training we will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks. We will also explore how different layers in neural networks does data abstraction and feature extraction using Deep Learning.
Deep Learning in TensorFlow training is designed to make you a Data Scientist by providing you rich hands-on training on Deep Learning in TensorFlow with Python. This course is a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects.
Deep Learning in TensorFlow training is designed to make you a Data Scientist by providing you rich hands-on training on Deep Learning in TensorFlow with Python. This course is a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects.
Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers:
- In-depth knowledge of Deep Neural Networks
- Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders
- Implementation of Collaborative Filtering with RBM
- The exposure to real-life industry-based projects which will be executed using TensorFlow library
- Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices
Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need a structured training with the latest skills as per current industry requirements and best practices.
Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of solution strategy.
Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.
Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of solution strategy.
Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.
Deep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects.
During this course you will be trained by our expert instructors on:
- Deep Learning and TensorFlow Concepts
- Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
- Proficiency in Long short-term memory (LSTM)
- Implementing Keras, TFlearn, Autoencoders
- Implementing Restricted Boltz-mann Machine (RBM)
- Knowledge of Neural Networks & Natural Language Processing (NLP)
- Using Python with TensorFlow Libraries
- Perform Text Analytics
- Perform Text Processing
The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are:
However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio.
- Developers aspiring to be a 'Data Scientist'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Deep Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio.
Required Pre-requisites
- Basic programming knowledge in Python
- Concepts about Machine Learning
- Statistics and Machine learning algorithms
- Python Essentials
greens offers you complimentary self-paced courses:
Course Curriculum
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Learning Objectives:
- Deep Learning: A revolution in Artificial Intelligence
- Limitations of Machine Learning
- What is Deep Learning?
- Advantage of Deep Learning over Machine learning
- 3 Reasons to go for Deep Learning
- Real-Life use cases of Deep Learning
- Review of Machine Learning: Regression, Classification, Clustering, Reinforcement Learning, Underfitting and Overfitting, Optimization
- Implementing a Linear Regression model for predicting house prices from Boston dataset
- Implementing a Logistic Regression model for classifying Customers based on a Automobile purchase dataset
In this module, you’ll get an introduction to Deep Learning and understand how Deep Learning solves problems which Machine Learning cannot. Understand fundamentals of Machine Learning and relevant topics of Linear Algebra and Statistics.
Hands-On
- How Deep Learning Works?
- Activation Functions
- Illustrate Perceptron
- Training a Perceptron
- Important Parameters of Perceptron
- What is TensorFlow?
- TensorFlow code-basics
- Graph Visualization
- Constants, Placeholders, Variables
- Creating a Model
- Step by Step - Use-Case Implementation
- Building a single perceptron for classification on SONAR dataset
Learning Objectives:
In this module, you’ll get an introduction to Neural Networks and understand it’s working i.e. how it is trained, what are the various parameters considered for its training and the activation functions that are applied.
Hands-On
-
Learning Objectives:
- Understand limitations of a Single Perceptron
- Understand Neural Networks in Detail
- Illustrate Multi-Layer Perceptron
- Backpropagation – Learning Algorithm
- Understand Backpropagation – Using Neural Network Example
- MLP Digit-Classifier using TensorFlow
- TensorBoard
- Building a multi-layered perceptron for classification of Hand-written digits
In this module, you’ll understand backpropagation algorithm which is used for training Deep Networks. You will know how Deep Learning uses neural network and backpropagation to solve the problems that Machine Learning cannot.
Hands-On
-
Learning Objectives:
- Why Deep Networks
- Why Deep Networks give better accuracy?
- Use-Case Implementation on SONAR dataset
- Understand How Deep Network Works?
- How Backpropagation Works?
- Illustrate Forward pass, Backward pass
- Different variants of Gradient Descent
- Types of Deep Networks
- Building a multi-layered perceptron for classification on SONAR dataset
In this module, you’ll get started with the TensorFlow framework. You will understand how it works, its various data types & functionalities. In addition, you will create an image classification model.
Hands-On
-
Learning Objectives:
- Introduction to CNNs
- CNNs Application
- Architecture of a CNN
- Convolution and Pooling layers in a CNN
- Understanding and Visualizing a CNN
- Building a convolutional neural network for image classification. The model should predict the difference between 10 categories of images.
In this module, you’ll understand convolutional neural networks and its applications. You will learn the working of CNN, and create a CNN model to solve a problem.
Hands-On
-
Learning Objectives:
- Introduction to RNN Model
- Application use cases of RNN
- Modelling sequences
- Training RNNs with Backpropagation
- Long Short-Term memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
- Building a recurrent neural network for SPAM prediction.
In this module, you’ll understand Recurrent Neural Networks and its applications. You will understand the working of RNN, how LSTM are used in RNN, what is Recursive Neural Tensor Network Theory, and finally you will learn to create a RNN model.
Hands-On
-
Learning Objectives:
- Restricted Boltzmann Machine
- Applications of RBM
- Collaborative Filtering with RBM
- Introduction to Autoencoders
- Autoencoders applications
- Understanding Autoencoders
- Building a Autoencoder model for classification of handwritten images extracted from the MNIST Dataset
In this module, you’ll understand RBM & Autoencoders along with their applications. You will understand the working of RBM & Autoencoders, illustrate Collaborative Filtering using RBM and understand what are Deep Belief Networks.
Hands-On
-
Learning Objectives:
- Define Keras
- How to compose Models in Keras
- Sequential Composition
- Functional Composition
- Predefined Neural Network Layers
- What is Batch Normalization
- Saving and Loading a model with Keras
- Customizing the Training Process
- Using TensorBoard with Keras
- Use-Case Implementation with Keras
- Build a model using Keras to do sentiment analysis on twitter data reactions on GOP debate in Ohio
In this module, you’ll understand how to use Keras API for implementing Neural Networks. The goal is to understand various functions and features that Keras provides to make the task of neural network implementation easy.
Hands-On
-
Learning Objectives:
- Define TFLearn
- Composing Models in TFLearn
- Sequential Composition
- Functional Composition
- Predefined Neural Network Layers
- What is Batch Normalization
- Saving and Loading a model with TFLearn
- Customizing the Training Process
- Using TensorBoard with TFLearn
- Use-Case Implementation with TFLearn
- Build a recurrent neural network using TFLearn to do image classification on hand-written digits
In this module, you’ll understand how to use TFLearn API for implementing Neural Networks. The goal is to understand various functions and features that TFLearn provides to make the task of neural network implementation easy.
Hands-On
-
Learning Objectives:
- How to approach a project?
- Hands-On project implementation
- What Industry expects?
- Industry insights for the Machine Learning domain
- QA and Doubt Clearing Session
In this module, you should learn how to approach and implement a project end to end. The instructor will share his industry experience and related insights that will help you kickstart your career in this domain. In addition, we will be having a QA and doubt clearing session for you.
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Deep Learning in TensorFlow Training in Chennai Reviews
Greens Technology Reviews given by our students already completed the training with us. Please give your feedback as well if you are a student.
Deep Learning in TensorFlow Training in Chennai Reviews from our Students
Hi Karthik, This is the best training i have ever attended so far till date regarding to the sessions and also as far as my practice is concerned ...i always had the enthu and never missed any session as i did in any other courses i attended :-) .... its your energy that kept the enthu in me till the end of course. For Future Students ....Sessions are so interactive and understandable. Need to spend lot if time to get hands on knowledge and practice is must for each and every session.
Rated as No 1 training institute for Best Deep Learning in TensorFlow Training in Chennai
Interested in our Deep Learning in TensorFlow Training in Chennai, call 89399-15577 to talk to our career counselors and start your journey as an Deep Learning in TensorFlow Training specialist!
Deep Learning in TensorFlow Training in Chennai Benefits
- My batch sizes are generally very small size 5-7 members OR 1 to 1 also, so students receive direct, hands-on training from us.
- 100% practical training only. It is not a slide show training program / theory class program. At the end of this class, definitely you will refer your colleagues / friends / relatives for my training.
- Conducting regularly online- training for US peoples in all time zones (PST,CST,EST,HST,MST)
- Installation of Softwares in your desktop / laptop will be done.
- Will be provided self evaluation testing software, exam simulator, dumps & books with this training.
- Continuous support is provided for any of your on-site problems. will be provided and you will be recommended to some of IT development firms.
Deep Learning in TensorFlow Training Venue:
Are you located in any of these areas - Adyar, Mylapore, Nandanam, Nanganallur, Nungambakkam, OMR, Pallikaranai, Perungudi, Ambattur, Aminjikarai, Adambakkam, Anna Nagar, Anna Salai, Ashok Nagar, Besant Nagar, Choolaimedu, Chromepet, Medavakkam, Porur, Saidapet, Sholinganallur, St. Thomas Mount, T. Nagar, Tambaram, Teynampet, Thiruvanmiyur, Thoraipakkam,Vadapalani, Velachery, Egmore, Ekkattuthangal, Guindy, K.K.Nagar, Kilpauk, Kodambakkam, Madipakkam, Villivakkam, Virugambakkam and West Mambalam.
Our Adyar office is just few kilometre away from your location. If you need the best Deep Learning in TensorFlow Training in Chennai, driving couple of extra kilometres is worth it!
Our Reviews 
5 out of 5 based on 12263 ratings.
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Deep Learning in TensorFlow Training Benefits
- Real Time Trainers
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- Small Training Batch
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Adyar
No.11 , First Street ,
Padmanabha Nagar , Adyar ,
Chennai-600 020.
OMR
No.19, Balamurugan Garden, OMR Road, Thoraipakkam,
Kancheepuram (DT).
Tambaram
No.1, Appa Rao colony,
Tambaram,
Sanatorium,
Chennai - 600 047.
Navalur
No: 12, Rajiv Gandhi Salai(OMR),
Egattur Village, Navalur,
(Just Before Navalur Tollgate),
Chennai - 600 035.
Porur
149, 1C/1D, 1st Floor,
Opp to DLF IT Park,
Ramapuram,
Chennai - 600089.
Perumbakkam
1st Floor, No. 19 &20,
American Advent Christian Layout,
Sholinganallur to Medavakkam Main
Road, Perumbakkam,
Chennai - 600 100.
Tambaram
No. 05,
Bakthavachalam Street,
West Tambaram,
Chennai - 600045.
Velachery
51-A, 2nd floor,
Velachery Road,
Dhadeswaram Nagar,
Velachery,
Chennai 600042.
Vadapalani
79, 100 Feet Rd,
Thiru Nagar Colony,
NGO Colony,
Vadapalani,
Chennai, Tamil Nadu 600026.
Perungudi
3rd floor ,
G square ,
No 46 Rajiv Gandhi salai ( OMR),
Perungudi,
Trichy
75/E-3, Sri Krishna Enclave,
2nd Floor, Salai Road,
Thillai Nagar, Tiruchirappalli,
Tamil Nadu 620 018.
Landmark : Next to kannappa Hotel
Avadi
New no. 398,
Old no. 577, CTH Road,
Avadi Checkpost,
Avadi,
Tamil Nadu - 600054
Landmark: Near GRT Jewelers
Salem
2nd Floor,
Sri Sai Kamatchi Complex,
Vincent,
Salem - 636007
Landmark: Opp to Government Arts College
"I want to thank you for your incredible efforts and sharing your vast knowledge. I am feeling lucky to have attended your great batch. You are awesome Karthik, I am not sure when i will be able to attain 50% of your knowledge but i got a lot inspired by you. I will keep in touch and will always try to learn from you as much as I can. Thanks once again Karthik"
"Dear Karthik, Deep Learning in TensorFlow Training has been outstanding. You have covered every aspect of the Deep Learning in TensorFlow Trainingwhich would boost the confidence of the attendee to dive into greater depths and face the interviews subsequently. I feel confident after attending the Deep Learning in TensorFlow Training course. I am sure you would be providing us your valuable high level guidence in our initial realtime project . Each of your session is a eye opener and it is a great joy to attend your Deep Learning in TensorFlow Training. Thanks and Kindest Regards "
"I thought I knew Deep Learning in TensorFlow Traininguntil I took this course. My company sent me here against my will. It was definitely worth and I found out how many things I was doing wrong. Karthik is awesome. but i got a lot inspired by you. I will keep in touch and will always try to learn from you as much as I can. Thanks once again Karthik"
"""I think this is the best Deep Learning in TensorFlow Training course I have taken so far..Well I am still in the process of learning new things but for me this learning process has become so easy only after I joined this course..as Sajin is very organized and up to the point.. he knows what he is teaching and makes his point very clear by explaining numerous times. I would definitely recommend anyone who has any passion for Cloud.."" ""
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