Training: Deep Learning with TensorFlow 2.0

Ref. TFL-01

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Duration:

2

days

Exam:

Not certifying

Level:

Fundamental

Funding:

Eligible

Home > Trainings > Development > Programming > Deep Learning with TensorFlow 2.0

Description

TensorFlow is an end-to-end open source platform for machine learning. TensorFlow is a rich system for managing all aspects of a machine learning system; however, this class focuses on using a particular TensorFlow API to develop and train machine learning models.

Participant Profiles

Aspiring data scientists
People interested in Machine Learning, Deep Learning, Business, and Artificial Intelligence
Anyone who wants to learn how to code and build machine and deep learning algorithms from scratch

Objectives

Gain a Strong Understanding of TensorFlow – Google’s Cutting-Edge Deep Learning Framework
Build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
Set Yourself Apart with Hands-on Deep and Machine Learning Experience
Grasp the Mathematics Behind Deep Learning Algorithms
Understand Backpropagation, Stochastic Gradient Descent, Batching, Momentum, and Learning Rate Schedules
Know the Ins and Outs of Underfitting, Overfitting, Training, Validation, Testing, Early Stopping, and Initialization
Competently Carry Out Pre-Processing, Standardization, Normalization, and One-Hot Encoding

Prerequisites

Some basic Python programming skills

Course Content

Module 1: Introduction to neural networks

Module 2: Setting up the working environment

Module 3: Minimal example – your first machine learning algorithm

Module 4: TensorFlow – An introduction

Module 5: Going deeper: Introduction to deep neural networks

Module 6: Backpropagation. A peek into the Mathematics of Optimization

Module 7: Overfitting

Module 8: Initialization

Module 9: Gradient descent and learning rates

Module 10: Preprocessing

Documentation

Digital courseware included

Lab / Exercises

The MNIST example
Business cases

Complementary Courses

Eligible Funding

ITTA is a partner of a continuing education fund dedicated to temporary workers. This fund can subsidize your training, provided that you are subject to the “Service Provision” collective labor agreement (CCT) and meet certain conditions, including having worked at least 88 hours in the past 12 months.