TensorFlow Professionals trained
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Become job-ready by mastering all the core essentials of TensorFlow framework and developing deep neural networks. This training also provides two real-time projects to sharpen your skills and knowledge, and clear the TensorFlow Certification Exam. Enroll now and get certified.
Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning
Discuss the idea behind Deep Learning
Advantage of Deep Learning over Machine learning
3 Reasons to go Deep
Real-Life use cases of Deep Learning
Scenarios where Deep Learning is applicable
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
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
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
Summary
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
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
Features
varoit
Others
Upon completion of this course, you will be able to:
The following job roles will get benefited from this training:
Prerequisites for this course include basic programming knowledge and fundamentals of Mathematics and Statistics.
From this course, you will:
Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
Yes, we will discuss with our instructor and will schedule according to the time convenient to you.
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.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
We will take care of providing you with all that is required to get placed in a reputed MNC and also forward your resume to the companies we tie-up with. Starting from providing the in-depth course material to explanation of the real-time scenarios and preparing your resumes, we will make you gain expertise so that you can get a job.
We assist you completely in acquiring certification. We ensure you will get certified easily after our training.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
Our trainer explains every topic along with real-time scenarios. In the last one or two sessions, the trainer will explain one end-to-end project to showcase the real time working environment.
To meet the learning needs of people spread across various geographical locations, we are offering our high-quality training services at the location of your choice to ensure you obtain maximum impact for your training investment. Choose your city below.
Hyderabad is the capital city of Telangana state and is well known for the major technology township, HITECH city, as well as India’s largest start-up ecosystem, T-Hub. It attracted more than 1500 IT firms including Apple, Microsoft, Amazon, Google, Salesforce, and many more. Therefore, the future scope of IT industry sounds great in Hyderabad with enormous opportunities for software professionals. varoit TensorFlow Training in Hyderabad is designed to uplift your career in this domain.
Panjagutta Hyderabad Telangana 500082 India
Bangalore is the IT capital of India and is regarded as one of the top 10 fastest growing cities in the world with an average economic growth rate of 8.5%. The city has attracted a large number of IT firms, startup investments, research and development organizations, and many more. TensorFlow Training is an ever-changing field which has numerous job opportunities and excellent career scope. Our TensorFlow Training in Bangalore is designed to enhance your skillset and successfully clear the TensorFlow Training certification exam.
#811, 10th A Main, Suite No.506 1st Floor, Indira Nagar Bangalore, India - 560038
