AI News, Getting Started with TensorFlow

Getting Started with TensorFlow

Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.

By the end of this book, you’ll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.

Tinker With a Neural Network Right Here in Your Browser.Don’t Worry, You Can’t Break It. We Promise.

Orange and blue are used throughout the visualization in slightly different ways, but in general orange shows negative values while blue shows positive values.

The data points (represented by small circles) are initially colored orange or blue, which correspond to positive one and negative one.

Deep Learning

Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge.

You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods.

Hands-On Machine Learning with Scikit-Learn and TensorFlow

See our FAQ or contact customer service: 1-800-889-8969 / Download Example Code View/Submit Errata

Hello World - Machine Learning Recipes #1

Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow...

Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #6

Monet or Picasso? In this episode, we'll train our own image classifier, using TensorFlow for Poets. Along the way, I'll introduce Deep Learning, and add context and background on why the...

Twitter Sentiment Analysis - Learn Python for Data Science #2

Only a few days left to sign up for my new course! Learn more and sign-up here In this video we'll be building our own Twitter Sentiment..

Intro - TensorFlow Object Detection API Tutorial p.1

Hello and welcome to a miniseries and introduction to the TensorFlow Object Detection API. This API can be used to detect, with bounding boxes, objects in images and/or video using either some...

The Future of Deep Learning Research

Only a few days left to sign up for my new course! Learn more and sign-up here Back-propagation is fundamental to deep learning...

How to Succeed in any Programming Interview

Only a few days left to sign up for my new course! Learn more and sign-up here I'll show you the 5 steps to succeed in any technical..

Lesson 2: Practical Deep Learning for Coders

CONVOLUTIONAL NEURAL NETWORKS For last week's assignment your goal was to get into the top 50% of the Kaggle Dogs v Cats competition. This week, Jeremy shows his answer to this assignment....

How serves Deep Learning Model Predictions (Sahil Dua)

Talk given at Full Stack Fest 2017: With so many machine learning frameworks and libraries available, writing a model isn't a bottleneck anymore while putting your..

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Lecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. We emphasize that computer vision encompasses a wide variety of different tasks,...

Lesson 6: Practical Deep Learning for Coders

BUILDING RNNS This lesson starts by introducing a new tool, the MixIterator, which will (finally!) allow us to fully implement the pseudo-labeling technique we learnt a couple of lessons ago....