Deep Learning & Neural Networks Python Keras

Name: Deep Learning &amp;amp; Neural Networks Python Keras
Price: 9.99 USD
Rating: 5.0 (1 reviews)
Author: Abhilash Nelson

Deep Learning and Data Science using Python and Keras Library - Beginner to Professional - The Complete Guide

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Abhilash Nelson

architecture icon Development,Python,Neural Networks

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Course Description

Hi this is Abhilash Nelson and I am thrilled to introduce you to my new course Deep Learning and Neural Networks using Python: For Dummies

The world has been revolving much around the terms "Machine Learning" and "Deep Learning" recently. With or without our knowledge every day we are using these technologies. Ranging from google suggestions, translations, ads, movie recommendations, friend suggestions, sales and customer experience so on and so forth. There are tons of other applications too. No wonder why "Deep Learning" and "Machine Learning along with Data Science" are the most sought after talent in the technology world now a days.

But the problem is that, when you think about learning these technologies, a misconception that lots of maths, statistics, complex algorithms and formulas needs to be studied prior to that. Its just like someone tries to make you believe that, you should learn the working of an Internal Combustion engine before you learn how to drive a car. The fact is that, to drive a car, we just only need to know how to use the user friendly control pedals extending from engine like clutch, brake, accelerator, steering wheel etc. And with a bit of experience, you can easily drive a car.

The basic know how about the internal working of the engine is of course an added advantage while driving a car, but its not mandatory. Just like that, in our deep learning course, we have a perfect balance between learning the basic concepts along the implementation of the built in Deep Learning Classes and functions from the Keras Library using the Python Programming Language. These classes, functions and APIs are just like the control pedals from the car engine, which we can use easily to build an efficient deep learning model.

Overall, this is a basic to advanced crash course in deep learning neural networks and convolutional neural networks using Keras and Python, which I am sure once you completed will sky rocket your current career prospects as this is the most wanted skill now a days and of course this is the technology of the future. We will also be providing you with an experience certificate after the completion of this course as a proof of your expertise and you may attach it with your portfolio.

There is a day in the near future itself, when the deep learning models will out perform human intelligence. So be ready and lets dive into the world of thinking machines.

Goals

What will you learn in this course:

Beginners who are interested in Deep Learning using Python

Prerequisites

What are the prerequisites for this course?

A medium configuration computer and the willingness to indulge in the world of Deep Learning

Deep Learning & Neural Networks Python Keras

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
3 Lectures

Course Introduction and Table of Contents 11:29 11:29
Deep Learning Overview - Theory Session - Part 1 05:51 05:51
Deep Learning Overview - Theory Session - Part 2 06:30 06:30

Choosing Between ML or DL for the next AI project
1 Lectures

Preparing Your Computer
2 Lectures

Python Basics
4 Lectures

Environment Setup
8 Lectures

Explaining Multi-Layer Perceptron Concepts
1 Lectures

Explaining Neural Networks Steps and Terminology
1 Lectures

First Neural Network with Keras
1 Lectures

Explaining Training and Evaluation Concepts
1 Lectures

Pima Indian Model
8 Lectures

Iris Flower Multi-Class
4 Lectures

Sonar Returns Dataset
2 Lectures

Sonar Performance Improvement
3 Lectures

Boston Housing
2 Lectures

Boston Performance Improvement
3 Lectures

Pima Indian Dataset
4 Lectures

Load and Predict
3 Lectures

Checkpointing
4 Lectures

Plotting Model Behavior History
2 Lectures

Dropout Regularization
3 Lectures

Learning Rate Schedule using Ionosphere Dataset
1 Lectures

Time Based Learning Rate Schedule
2 Lectures

Drop Based Learning Rate Schedule
2 Lectures

Convolutional Neural Networks
2 Lectures

MNIST Handwritten Digit Recognition Dataset
2 Lectures

MNIST Multi-Layer Perceptron Model Development
2 Lectures

Convolutional Neural Network Model using MNIST
2 Lectures

Large CNN using MNIST
1 Lectures

Load and Predict using the MNIST CNN Model
1 Lectures

Augmentation
5 Lectures

CIFAR-10 Object Recognition Dataset
1 Lectures

Simple CNN using CIFAR-10 Dataset
3 Lectures

Train and Save CIFAR-10 Model
1 Lectures

Load and Predict using CIFAR-10 CNN Model
1 Lectures

SOURCE CODE ATTACHED
1 Lectures

Instructor Details

Abhilash Nelson

I am a pioneering, talented and security-oriented Android/iOS Mobile and PHP/Python Web Developer Application Developer offering more than eight years’ overall IT experience which involves designing, implementing, integrating, testing and supporting impact-full web and mobile applications.

I am a Post Graduate Masters Degree holder in Computer Science and Engineering.

My experience with PHP/Python Programming is an added advantage for server based Android and iOS Client Applications.