Deep-Dive into Tensorflow Activation Functions

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

Learn when, where, why and how to use different activation functions and for which situations

Code examples of each activation function from scratch in Python

Clock2 hours
Intermediate中級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

You've learned how to use Tensorflow. You've learned the important functions, how to design and implement sequential and functional models, and have completed several test projects. What's next? It's time to take a deep dive into activation functions, the essential function of every node and layer of a neural network, deciding whether to fire or not to fire, and adding an element of non-linearity (in most cases). In this 2 hour course-based project, you will join me in a deep-dive into an exhaustive list of activation functions usable in Tensorflow and other frameworks. I will explain the working details of each activation function, describe the differences between each and their pros and cons, and I will demonstrate each function being used, both from scratch and within Tensorflow. Join me and boost your AI & machine learning knowledge, while also receiving a certificate to boost your resume in the process! 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.

あなたが開発するスキル

  • Neural Network Activation Functions
  • Deep Learning
  • Artificial Neural Network
  • Python Programming
  • Tensorflow

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  1. Review the Activation Functions, Their Properties & the Principle of Nonlinearity

  2. Implementing Linear and Binary Step Activations

  3. Implementing Ridge-based Activation Functions (ReLu family)

  4. Implementing Variations of Relu & the Swish Family of Non-Monotonic Activations

  5. Implementing Radial-based Activation Functions (RBF family)

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。