Deep Learning with Tensorflow

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Overview

This Deep Learning course with TensorFlow certification training is designed by industry experts and follows the most up-to-date best practices. In the Google TensorFlow Certification You'll learn how to implement deep learning algorithms and master deep learning principles & models using the TensorFlow frameworks.

TensorFlow is one of the top libraries for deep learning implementation. TensorFlow is a software library that uses data flow graphs to numerically compute mathematical expressions. The edges of the network represent the multidimensional data arrays (tensors) that flow between the nodes, while the nodes represent mathematical processes. It was designed specifically for Machine Learning by Google, hence, widely used to develop solutions with Deep Learning.

By the end of the TensorFlow Course, you’ll learn:

TensorFlow’s foundational concepts such as the main functions, operations and the execution pipelines
Explain how TensorFlow may be used to fit curves, perform regression, classify data, and minimise error functions
Learn about Convolutional Networks, Recurrent Networks, and Autoencoders, as well as other forms of Deep Architectures
Use TensorFlow for backpropagation to fine-tune the weights and biases while the Neural Networks are being trained

Key Features of the course

Blended Learning

Get 34 hours of interactive and blended learning

Flexible Training

Get flexibility to choose classes

Best in world Mentorship

Get trained and mentored by programming industry experts

Interactive instructor-led training

Training sessions that meet the exact needs of every individual

Practical training

Experience practical project development led by actual examples

Renowned Data Science partner

Xebia is accredited partner for Big Data & Data Science Certification

Curriculum

Topics Covered

Module 1 – Introduction to TensorFlow
- HelloWorld with TensorFlow
- Linear Regression
- Nonlinear Regression
- Logistic Regression
- Activation Functions
Module 2 – Convolutional Neural Networks (CNN)
- CNN History
- Understanding CNNs
- CNN Application
Module 3 – Recurrent Neural Networks (RNN)
- Intro to RNN Model
- Long Short-Term memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
Module 4 – Unsupervised Learning
- Intro to RNN Model
- Long Short-Term memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
Module 5 - Autoencoders
- Introduction to Autoencoders and Applications
- Autoencoders
- Deep Belief Network

Prerequisite

Attendees must have a basic understanding of programming foundations, a reasonable comprehension of statistics and mathematics, and a decent knowledge of machine learning ideas before taking this Deep Learning certification training.

Project Details:

Project 1: PUBG Players Finishing Placement Prediction

Create a model that predicts the finishing placement of a player 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 predicting whether a loan will go into default using the historical data.

What does Xebia provide differently?

Step into the realm of learning for an all-inclusive growth. Xebia is a pioneering IT consultancy and service provider that aims at Enterprise Development, Agile Development, DevOps, and Outsourcing Services.

World-class Training

Xebia Academy offers an intensive learning program and industry-specific training courses. It’s a globally acclaimed APMG International Partner for Big Data & Data Science training and certification courses .ReadmoreReadless

Boon To Career

Xebia offers excellent consultancy, innovative tools, and continuous career growth. We will train you to become a Big Data and Data Science expert.ReadmoreReadless

Expert Advantage

Get trained by our In-House Data Science experts with an average 18 years of experience: Data Science and Big Data Experts with extensive knowledge of data and AI.ReadmoreReadless

Flexible Learning

Pick the right course: You can choose a public class at our training centre, or learn with your colleagues in a customized, in-company training program, facilitated on-site at your location, anywhere in the world.ReadmoreReadless

Global Experience

18 years of professional training experience and trusted by over 1,00,000 professionals worldwide. Xebia Academy is the largest producer of Big Data and Data Science certifications globally.ReadmoreReadless

Hands-on And Practical Learning Experience

Our trainers are hands-on practitioners and provide interactive training sessions which let students master required skills in real-world scenarios, giving them an edge in the industry. ReadmoreReadless

Certification Process

01

Enroll for Deep Learning with TensorFlow
02

Attend the Deep Learning with TensorFlow training
03

Get certified as a Deep Learning Engineer

Industry Connect

Who should attend this course?

Data Scientists
Machine Learning professionals
Deep Learning Engineers
Business and AI Engineer

What skills will you learn in the course?

TensorFlow Basis

Learn everything needed to know about TensorFlow, Google's cutting-edge deep learning framework.

Algorithms

Learn to use NumPy and TensorFlow, create deep learning algorithms from scratch in Python.

Tools and Techniques

Learn the concepts of Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules.

Insights

Understand the ins and outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization.

Calculation

Learn the Mathematics Behind Deep Learning Algorithms.

Processes

Learn to implement Pre-Processing, Standardization, Normalization, and One-Hot Encoding.

Why should you attend this course?

In this TensorFlow course, attendees will learn the terminology and key principles of artificial neural networks, PyTorch, and autoencoders. You will be able to develop deep learning models, interpret results, and create your own deep learning project after completing this course

Professionals with deep learning skills are needed in industries such as healthcare, information technology, fintech, and e-commerce, as Deep Learning will expand in future.

Companies like Accenture, Oracle, Microsoft, Walmart etc. hire Deep Learning professionals on a regular basis.

Get noticed by Corporate Giants who have incorporated TensorFlow to their core
Discover new concepts and be a part of innovative projects
Market yourself as a Deep Learning engineer
Land in lucrative jobs
Bring transformation in your enterprise

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FAQs

TensorFlow is a Google-developed open source toolkit for numerical computing and deep learning model development.

You can either enrol in our Artificial Intelligence certification course or the Post Graduate Program in AI and Machine Learning if you want to receive a university certificate.

Deep Learning, also known as Deep Neural Learning, is a segment of machine learning, an AI application in which machines function as the human brain and interpret data using artificial neural networks.

This course has a lifelong validity.

You may apply for top employment titles like Machine Learning Engineer, Data Scientist, Business Intelligence Developer, NLP Scientist, and more with the relevant abilities you obtain through our Deep Learning course.