• Deep Learning with TensorFlow – Introduction to TensorFlow
    Articles,  Blog

    Deep Learning with TensorFlow – Introduction to TensorFlow

    Hello, and welcome! In this video, we will provide a brief overview of the structure and capabilities of the TensorFlow library. TensorFlow is an open source library developed by the Google Brain Team. It’s an extremely versatile library, but it was originally created for tasks that require heavy numerical computations. For this reason, TensorFlow was geared towards the problem of machine learning, and deep neural networks. Due to a C C++ backend, TensorFlow is able to run faster than pure Python code. The last thing we’ll mention here is that a TensorFlow application uses a structure known as a data flow graph. We’ll cover this in more detail shortly. TensorFlow…

  • Articles

    What is a Neural Network – Ep. 2 (Deep Learning SIMPLIFIED)

    If you’ve been ignoring neural nets cuz you think they’re too hard to understand or you think you don’t need them…boy do I have a treat for you! In this video you’ll learn about neural nets without any of the math or code – just an intro to what they are and how they work. My hope is that you’ll get an idea for why they’re such an important tool. Let’s get started. The first thing you need to know is that deep learning is about neural networks. The structure of a neural network is like any other kind of network; there is an interconnected web of nodes, which are…

  • Best Laptop for Machine Learning
    Articles,  Blog

    Best Laptop for Machine Learning

    AI is my cityits Siraj and what is the best laptop for machine learning Its Popular Question I get asked and in this video I am gonna talk about The best laptop Desktop and DIY systems for Machine Learning as well the best cloud options When it comes to choosing the right machine for machine learning you are usually choosing between the two factors Portability and Processing power The higher the processing power the heavier the laptop is thus the less portability it has and vice versa Also, the higher the power the lower the battery life and portability again takes a hit (*pow) Their are a few important component…

  • Machine Learning For Medical Image Analysis – How It Works
    Articles,  Blog

    Machine Learning For Medical Image Analysis – How It Works

    In 2016, JAMA published research demonstrating the efficacy of a deep learning algorithm. We were able to train a deep learning neural network to recapitulate the majority decision of 7 or 8 US board certified ophthalmologists in the task of grading for a diabetic retinopathy. The type of deep learning algorithm used to detect diabetic retinopathy in that study is called a Convolutional Neural Network, or CNN. CNNs enable computer systems to analyze and classify data. When applied to images, CNNs can recognize that an image shows a dog rather than a cat. They can recognize the dog whether it’s a small part or a large part of the picture…

  • Deep Learning SIMPLIFIED: The Series Intro – Ep. 1
    Articles,  Blog

    Deep Learning SIMPLIFIED: The Series Intro – Ep. 1

    If you’re like most beginners, trying to learn about Deep Learning feels like taking a drink from a firehose you’re hit with too much complicated info too quickly, and most of it ends up seeping out of your mind If you’re tired of all that, then you’re gonna love the series I’ve created for you! My goal is to simplify everything so that you know just enough to make sense out of all those technical details If you’ve ever tried to look into Deep Learning in the past, you probably immediately came across terms like Deep Belief Nets Convolutional Nets, Backpropagation, non-linearity, Image recognition, and so on Or maybe you…

  • What is a Deep Learning Library? – Ep. 16 (Deep Learning SIMPLIFIED)
    Articles,  Blog

    What is a Deep Learning Library? – Ep. 16 (Deep Learning SIMPLIFIED)

    If you’re coding a deep neural network, using a Deep Learning software library is a sure-fire way to simplify the development process. Rather than re-invent the wheel, you can take advantage of well-tested code that was created by experts in the field. Let’s take a closer look. If you aren’t a developer or if you’re unfamiliar with the term, a library is a premade set of functions and modules that you can call through your own programs. Libraries are typically created by highly-qualified software teams, and popular libraries are regularly maintained. Many libraries are open-source, and are surrounded by big communities that provide support and contribute to the codebase. Deep…

  • How to Make a Neural Network – Intro to Deep Learning #2
    Articles,  Blog

    How to Make a Neural Network – Intro to Deep Learning #2

    How do we learn? Although times may change, some concepts stay the same. Unchanging, information outlasts the body. It’s stored in our brain, but can be passed down from generation to generation. Our brain is capable of synthesizing the diverse set of inputs we call our five senses, and from them, creating a hierarchy of concepts. If we’re lucky, we can learn a task while being supervised by a teacher directly. While interacting with our environment, we can feel our surroundings, see our obstacles and try to predict the next steps. If we try at first and fail, that’s okay. Through the process of trial and error, we can learn…

  • AI Playing Games: Crash Course AI #12
    Articles,  Blog

    AI Playing Games: Crash Course AI #12

    Jabril: D7 John-Green-bot: Miss. John-Green-bot: I-9 Jabril: NOOOOOOOOOO Hey, I’m Jabril and welcome to Crash Course AI! John-Green-bot might struggle with some things like natural language processing and moving through the real world, but using AI he’s pretty good at board games. AI researchers spend a LOT of time trying to teach AI how to beat humans at games, & this isn’t just because games are fun. Games provide constrained scenarios for testing new AI algorithms and approaches. In a game, it’s easy to know whether the AI is winning or losing, because there’s usually a score or some objective measure of “winning.” This is great because AI learns from…