Tensorflow Training
200+
10+
60 Hrs
Our TensorFlow course content designed by experts which helps you start learning TensorFlow from basics to advanced concepts. We at Credo Systemz offers the complete hands-on TensorFlow training with real-time projects. Also, referred as the best deep learning training center in Chennai by our alumni across the internet from various sources.
About Course
TensorFlow is an open source library which is developed by Google for their own deep learning purpose. Using TensorFlow you can build, design and also train deep learning models. This open source software library also provided that numerical computations using data flow graphs.
TensorFlow is the most accelerating and promising fields among all the technologies in the IT market. Master in this technology you need a designed training with the current skill which matches the current industry requirements with best practices. The main part of the training, you will get guidance from TensorFlow expert who is currently working in the industry real time projects.
- Ease of use
- Scalability
- Debugging
- Open source
- Visualizer
- Flexible architecture
- Support for multiple languages
Key Features
Training from
Industrial Experts
24 x 7
Expert Support
Hands on
Practicals/ Projects
Certification
of Completion
100% Placement
Assistance
Free
Live Demo
TENSORFLOW TRAINING COURSE CONTENT
TensorFlow Course Highlights
- Strong knowledge in TensorFlow Basics
- Certainly, hands-on knowledge use TensorFlow Mechanics to build graphs and train the model
- Gain knowledge about the Back propagation learning algorithm and classification
- Working with deep learning and machine learning algorthims
- Acquire knowledge in Convolutional Neural Networks(CNN)and Recurrent Neural Networks(RNN)
- Hence, best practice followed for TensorFlow.
Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
Section 1: Introduction to Deep Learning with TensorFlow
- Deep Learning: A revolution in Artificial Intelligence
- Limitations of Machine Learning
- Discuss the idea behind Deep Learning
- An advantage of Deep Learning over Machine learning
- 3 Reasons to go Deep
- Real-Life use cases of Deep Learning
- Scenarios where Deep Learning is applicaScalarsble
- The Math behind Machine Learning: Linear Algebra
- Scalars
- Vectors
- Matrices
- Tensors
- Hyperplanes
- The Math Behind Machine Learning: Statistics
- Probability
- Conditional Probabilities
- Posterior Probability
- Distributions
- Samples vs Population
- Resampling Methods
- Selection Bias
- Likelihood
- Review of Machine Learning Algorithms
- Regression
- Classification
- Clustering
- Reinforcement Learning
- Underfitting and Overfitting
- Optimization
- Convex Optimization
Section 2: Fundamentals of Neural Networks
- Defining Neural Networks
- The Biological Neuron
- The Perceptron
- Multi-Layer Feed-Forward Networks
- Training Neural Networks
- Backpropagation Learning
- Gradient Descent
- Stochastic Gradient Descent
- Quasi-Newton Optimization Methods
- Generative vs Discriminative Models
- Activation Functions
- Linear
- Sigmoid
- Tanh
- Hard Tanh
- Softmax
- Rectified Linear
- Loss Functions
- Loss Function Notation
- Loss Functions for Regression
- Loss Functions for Classification
- Loss Functions for Reconstruction
- Hyperparameters
- Learning Rate
- Regularization
- Momentum
- Sparsity
Section 3: Fundamentals of Deep Networks
- Defining Deep Learning
- Defining Deep Networks
- Common Architectural Principals of Deep Networks
- Reinforcement Learning application in Deep Networks
- Parameters
- Layers
- Activation Functions - Sigmoid, Tanh, ReLU
- Loss Functions
- Optimization Algorithms
- Hyperparameters
Section 4: Introduction to TensorFlow
- What is TensorFlow?
- Use of TensorFlow in Deep Learning
- Working of TensorFlow
- How to install Tensorflow
- HelloWorld with TensorFlow
- Running a Machine learning algorithms on TensorFlow
Section 5: Convolutional Neural Networks (CNN)
- Introduction to CNNs
- CNNs Application
- Architecture of a CNN
- Convolution and Pooling layers in a CNN
- Understanding and Visualizing a CNN
- Transfer Learning and Fine-tuning Convolutional Neural Networks
Section 6: Recurrent Neural Networks (RNN)
- Intro to RNN Model
- Application use cases of RNN
- Modeling sequences
- Training RNNs with Backpropagation
- Long Short-Term Memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
Section 7: Restricted Boltzmann Machine(RBM) and Autoencoders
- Restricted Boltzmann Machine
- Applications of RBM
- Collaborative Filtering with RBM
- Introduction to Autoencoders
- Autoencoders applications
- Understanding Autoencoders
- Variational Autoencoders
- Deep Belief Network
You will be going through detailed 2 to 3 months of Tensorlow Hands-on training
- Detailed instructor led sessions to help you become a proficient Expert in Tensorflow.
- Build a Tensorflow professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable Tensorflow course materials, interview questions and project resources.

Credo Systemz - Velachery, Chennai
Call Us +91 9884412301

Credo Systemz - OMR, Chennai
Call Us +91 9600112302
FAQs
- Good knowledge of programming preferable python.
- Familiar with statistics, probability, algebra and data science.
- Software Engineer
- Data Engineer
- Business Analyst
- Data scientist
- Aspirants those have interested in image restoration, computer vision and text classification.
You become a master the following practical skills in TensorFlow
- Acquired Strong knowledge in TensorFlow Framework
- Get to know about Neural Networks, Recurrent Neural Networks, Convolutional Neural Networks using TensorFlow
- Expertise in using TensorFlow
- In depth understanding of Computer Vision applications using TensorFlow
Definetly, CredoS ystemz also offers the best TensorFlow training via online which is handled by our experts with live projects. TensorFlow online course starts from scratch by which helps you to understand from the core of the technology.
No worries! You can able to attend your missed topic, We will make sure each and every topic in the given course content will be handled and also if you are not clear any topic you can attend the same concepts in any other near batches.
Top Factors which make us the best TensorFlow training in Chennai
- First of all,CredoSystemz is the Best place to Learn TensorFlow Certification Training in Chennai with high quality and affordable training.
- Offering TensorFlow Course in Chennai on both Weekdays and Weekends at flexible timing.
- Especially, Our TensorFlow syllabus is designed by experts to make a beginner into a professional in this field.
- Most importantly our TensorFlow training with real-time projects which makes you an expert in this technology.
- On the other hand, you can also join for our TensorFlow online training in Chennai handled by experienced trainers.
- We are named as the best TensorFlow training institute with placement according to the more number of positive reviews across the internet.
- Important to note, Our TensorFlow training in Chennai to gain the complete knowledge of this technology.
- Best Tensor flow Training in Chennai with Real time practicals rather than theory Oriented.
- Finally, The main highlight of our TensorFlow certification course provided that practicals, Assignments, Assessments, placement assistance and certification guidance.
Related Trainings
Nearby Access Areas
Our Velachery and OMR branches are very nearby access to the below locations.Medavakkam, Adyar, Tambaram, Adambakkam, OMR, Anna Salai, Velachery, Ambattur, Ekkattuthangal, Ashok Nagar, Poonamallee, Aminjikarai, Perambur, Anna Nagar, Kodambakkam, Besant Nagar, Purasaiwakkam, Chromepet, Teynampet, Choolaimedu, Madipakkam, Guindy, Navalur, Egmore, Triplicane, K.K. Nagar, Nandanam, Koyambedu, Valasaravakkam, Kilpauk, T.Nagar, Meenambakkam, Thiruvanmiyur, Nungambakkam, Thoraipakkam, Nanganallur, St.Thomas Mount, Mylapore, Pallikaranai, Pallavaram, Porur, Saidapet, Virugambakkam, Siruseri, Perungudi, Vadapalani, Villivakkam, West Mambalam, Sholinganallur.