Duration: 3h 29m | Video: h264, 1920x1080 | Audio: AAC, 48kHz, 2 Ch | 306 MB
Genre: eLearning | Language: English | $125

Apply deep learning concepts and use Python to solve challenging tasks

We avoid complex math equations, which can often be a barrier to entry for newcomers.
This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps.
You will start out with an intuitive understanding of neural networks in general. We will guide you through the building blocks of deep learning networks to tackle complex neural networks.
So, take this course and learn the skills and temperament need to enter the AI marketplace today.
All the code and this course's supporting files of are available on GitHub at - https://github.com/PacktPublishing/Python-Deep-Learning-for-Beginners-

Style and Approach
A direct, practical, and very hands-on approach where we deal less with theory and adopt a more hands-on style of learning.

Table of Contents
UNDERSTANDING DEEP LEARNING
BUILDING THE BASIC BLOCKS OF MACHINE LEARNING
DIVING INTO DEEP NEURAL NETWORKS
DISCOVERING CONVOLUTIONAL NEURAL NETWORKS (CNNS)
USING CNNS TO SOLVE INCREASINGLY COMPLEX TASKS
LEARNING ABOUT DETECTION AND SEGMENTATION
EXPLORING RECURRENT NEURAL NETWORKS
OBJECT DETECTION USING CNNS
MOVING FORWARD WITH DEEP LEARNING AND AI

What You Will Learn
The history of neural networks, and where they are now
Get a brief understanding of trade-offs and practical implementation aspects
Get hands-on experience building basic neural network models (no math!) using Python
Ramp up productivity in model building by leveraging popular frameworks
Implement some state-of-the-art computer vision algorithms using deep learning and Python
Build and learn to deploy a practical deep learning application with Python
Get an overview of current skills, frameworks, tools, and techniques for the AI market
Build a deep learning-based image recognition system using Python and learn how to deploy and integrate it into web apps or phone apps[quote]