30 Hrs of Sessions
20 Hrs of Labs
Real-time Use cases
24/7 Lifetime Support
Certification Based Curriculum
Flexible Schedules
One-on-one doubt clearing
Career path guidance
Job Support
30 Hrs of Sessions
20 Hrs of Labs
Real-time Use cases
24/7 Lifetime Support
Certification Based Curriculum
Flexible Schedules
One-on-one doubt clearing
Career path guidance
Job Support
Most of the TensorFlow Jobs in the industry expect the following add-on skills. Hence, we offer these skills-set as FREE Courses (Basics) to ease your learning process and help you stay ahead of the competition.
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.
You will be exposed to the complete TensorFlow Trainingcourse details in the below sections.
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
Empower your team with new skills to Enhance their performance and productivity.
Course Reviews
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We take pride in being part of 5 lakh plus career transitions worldwide
Online Work Support for your on-job roles.
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
Many professionals transformed careers with better pay and higher positions.
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:
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Jobs / Month
861
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$100,122
Yes, we got custom training programs to complete the course as you need.
You need good internet connectivity with a mobile/tab/laptop/system installed with Zoom/Meet.
You can access the recorded videos through our LMS after every session.
Yes, you get two kinds of discounts. They are group discounts and referral discounts.
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