Keras Tutorial for Beginners: Deep Learning in Python with Example

Keras Tutorial for Beginners: Deep Learning in Python with Example - What is Keras? Keras is an Open Source Neural Network library written in Python that runs on top of Theano or Tensorflow. What is a Backend? Theano, Tensorflow, and CNTK Backend. Keras vs Tensorflow. Installing Keras. How to Install Keras on Windows. Keras Fundamental for Deep Learning. Face Recognition Neural Network with Keras. Amazon Web Service (AWS). Fine-Tune Pre-Trained Models in Keras and How to Use Them. Comparing the Backends. Advantages of Keras. Direct install or Virtual Environment. Amazon SageMaker

Learn how to work Python and R

Learn how to use Python and R in conjunction with each other to utilize the best of both in a single data science project. An introduction for working with R within Python. An introductory guide to incorporate R in your workflow as a Python Data Scientist. In case, you’ll like to integrate Python in your workflow as an R Data Scientist

Getting Started with Keras (AI Adventures)

Getting started with Keras (AI Adventures) has never been easier! Not only is it built into TensorFlow, but when you combine it with Kaggle Kernels you don’t have to install anything! Plus you get to take advantage of the resources from the Kaggle community. In this episode of AI Adventures, Yufeng shows you how to get started with Keras

6 Free Python Programming Courses for Beginners in 2020

If you decide to learn Python online for FREE and looking for some awesome resources then you have come to the right place. Free Python courses online. Learn python programming from institutions like MIT, Microsoft and Georgia Tech: Introduction To Python Programming, Deep Learning Prerequisites: The Numpy Stack in Python, Python Core and Advanced, Master Python Complete Course, 2020 learning Python3.8 from beginner to the master, Programming with Python All in One

Learn Python with Jupyter Notebook from Scratch

Python and Jupyter Notebooks for beginners: Learn Python with Jupyter Notebook from scratch. In this introductory beginners course we will learn about the basics of Python and Jupyter notebook. You'll learn: How to install Jupyter Notebook, How to run the Jupyter Notebook Server, Common Jupyter Commands, Python Expressions, Python Statements, Python Variables, Python Data Types, Python Operators, Python Loops, Python Functions, Jupyter Components, Notebook Dashboard, Explore Notebook Interface,....

Introduction to Machine Learning

In this Machine Learning tutorial, you'll explore what machine learning is and how it works. You'll understand the differences between supervised learning and unsupervised learning. You'll even learn core concepts like regression models, classification models, clustering models, and dimension reduction models.

Get started with Python Data Visualization using Bokeh Library

In this Python Data Visualization tutorial, we will get started with data visualization in Python by creating a top horsepower chart using the Bokeh library. Get started with Python Data Visualization using Bokeh library. Python Data Visualization With Bokeh

Artificial Intelligence (AI) Tutorial - Getting started with AI

Artificial Intelligence (AI) Tutorial - Getting started with Artificial Intelligence. In this Artificial Intelligence tutorial you will learn end to end about AI and it's vast domain. So this AI tutorial for beginners is an exhaustive tutorial for you to get started with AI.

Top 10 Applications of Natural Language Processing (NLP)

Natural Language Processing (NLP): What it is and why it matters. What tasks can be solved with NLP? The scope is great and every day the number of tasks is increasing. In this post, you'll see top 10 Applications of Natural Language Processing. Natural Language Processing (NLP): Top 10 Applications to Know

Know what you don't know: Tools to understand uncertainty in DL

In this "Know what you don't know: Tools to understand uncertainty in Deep Learning", we want to bridge the gap between practical methods for Deep Learning and Bayesian Inference in a practical setting. We will start by introducing common problems in machine learning systems that arise from the lack of understanding of how uncertain models are when given specific inputs. This causes limitations on applications that need robust solutions and can impact people lives, such as healthcare, financial trading, and autonomous vehicles.

Machine Learning Crash Course

Machine Learning Crash Course - "This talk introduces machine learning through the lens of three use cases: Teaching a computer sign language (supervised learning), Predicting energy usage in Texas (time series data), Using machine learning to find your next job (content-based filtering). Each use case demonstrates techniques applicable in real-world machine learning problems."

What’s New In Python 3.9

What’s New In Python 3.9. This article explains the new features in Python 3.9, compared to 3.8. Python (programming language) is an interpreted, high-level, general-purpose programming language.

Natural Language Processing

Natural Language Processing, or NLP for short, is comprehensively characterized as the programmed control of regular language, similar to discourse and content, by programming. The investigation of normal language handling has been around for...

Why is Python so Slow? How can speed it up?

Python is booming in popularity. It is used in DevOps, Data Science, Web Development and Security. It does not, however, win any medals for speed. So why is python such a slow programming language and how can we speed it up? In this video I'll be discussing the slow speed of the python language and why languages like Java, C and C++ can perform between 10x-200x faster.

Interpretable Machine Learning

Interpretable Machine Learning - Extracting human understandable insights from any Machine Learning model. A Guide for Making Black Box Models Explainable. Machine Learning doesn’t have to be a black box anymore. What use is a good model if we cannot explain the results to others. Interpretability is as important as creating a model.

Machine Learning Tutorial - Machine Learning Full Course For Beginners

This Machine Learning Tutorial - Machine Learning Full Course For Beginners covers what is Machine Learning, Machine Learning algorithms like linear regression, binary classification, decision tree, random forest and unsupervised algorithm like k means clustering in detail with complete hands on demo, Machine Learning interview questions to prepare you for the job interview.

Machine Learning Full Course - Learn Machine Learning for Beginners

In this machine learning tutorial you will learn what is machine learning, machine learning algorithms like linear regression, binary classification, decision tree, random forest and unsupervised algorithm like k means clustering in detail. What is Machine Learning? How does Machine Learning works? AI vs ML vs Deep Learning, What is Deep Learning? Machine Learning vs Deep Learning, Jupyter Notebook Tutorial, Understanding Linear Regression Algorithm, KNN Algorithm Working, Machine Learning Interview Questions ...

Tensorflow Tutorial for Beginners - Tensorflow on Neural Networks

In this TensorFlow tutorial for beginners - TensorFlow on Neural Networks, you will learn TensorFlow concepts like what are Tensors, what are the program elements in TensorFlow , what are constants & placeholders in TensorFlow Python, how variable works in placeholder and a demo on MNIST.

Support Vector Machine In Python - Machine Learning in Python Tutorial

This video 'Support Vector Machine In Python' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python. Support Vector Machine (SVM) is a supervised machine learning algorithm capable. Introduction To Machine learning, What is Support Vector Machine? How Does SVM Work? SVM Kernels. SVM Use Cases. How To Implement SVM? Character Recognition Using SVM

An Introduction to Artificial Intelligence (AI)

In this Introduction to Artificial Intelligence and in computer science, artificial intelligence (AI), sometimes called machine intelligence. Before leading to the meaning of artificial intelligence let understand what is the meaning of the Intelligence - Intelligence. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving"