Complete Tensorflow 2 and Keras Deep Learning Bootcamp

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(2 Ratings)

Offered byUDEMY

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
at
UDEMY
Overview

Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras

Duration	19 hours
Total fee	₹3,499
Mode of learning	Online
Credential	Certificate

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
at
UDEMY
Highlights

Earn a certificate of completion from Udemy
Learn from 3 downloadable resources & 2 articles
Get full lifetime access of the course material
Comes with 30 days money back guarantee

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
at
UDEMY
Course details

Skills you will learn

Sales Python Operations Data visualization

Who should do this course?

For Python developers interested in learning about TensorFlow 2 for deep learning and artificial intelligence

What are the course deliverables?

Learn to use TensorFlow 2.0 for Deep Learning
Leverage the Keras API to quickly build models that run on Tensorflow 2
Perform Image Classification with Convolutional Neural Networks
Use Deep Learning for medical imaging
Forecast Time Series data with Recurrent Neural Networks
Use Generative Adversarial Networks (GANs) to generate images
Use deep learning for style transfer
Generate text with RNNs and Natural Language Processing
Serve Tensorflow Models through an API
Use GPUs for accelerated deep learning

More about this course

This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning
This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand
We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models
In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more
This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
at
UDEMY
Curriculum

Course overview, Installs and Setup

Course overview

Course setup and Installation

NumPy Crash course

Introduction to NumPy

NumPy Arrays

Numpy Index Selection

NumPy Operations

NumPy Exercises

Numpy Exercises - Solutions

Pandas Crash Course

Introduction to Pandas

Pandas Series

Pandas DataFrames - Part One

Pandas DataFrames - Part Two

Pandas Missing Data

GroupBy Operations

Pandas Operations

Data Input and Output

Pandas Exercises

Pandas Exercises - Solutions

Visualization Crash Course

Introduction to Python Visualization

Matplotlib Basics

Seaborn Basics

Data Visualization Exercises

Data Visualization Exercises - Solutions

Machine Learning Concepts Overview

What is Machine Learning?

Supervised Learning Overview

Overfitting

Evaluating Performance - Classification Error Metrics

Evaluating Performance - Regression Error Metrics

Unsupervised Learning

Complete Tensorflow 2 and Keras Deep Learning Bootcamp
at
UDEMY
Faculty details

Jose Portilla

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming.