Neural Network from Scratch in TensorFlow

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En este Free Guided Project, tú:

How to implement a neural network from scratch using TensorFlow.

How to solve a multi-class classification problem using the neural network implementation.

Showcase this hands-on experience in an interview

Clock2 hours
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, it’s still worth understanding how a slightly lower level implementation might work in tensorflow, and this project will give you a great starting point. In order to be successful in this project, you should be familiar with python programming, TensorFlow basics, conceptual understanding of Neural Networks and gradient descent. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.


Some python programming experience and conceptual understanding of neural networks is recommended.

Habilidades que desarrollarás

Data ScienceDeep LearningMathematical OptimizationArtificial Neural NetworkTensorflow

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Create the Neural Network class

  2. Create a forward pass function

  3. Use the cross entropy loss with logits

  4. Create a predict function

  5. Create the main training mechanism and implement gradient descent with automatic differentiation

  6. Break down data-set in batches

  7. Apply the neural network model to solve a multi-class classification problem

  8. Plot the training results

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso




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