Into to Deep Learning project in TensorFlow 2.x and Python

Short Description

Advanced implementation of regression modelling techniques like lasso regression in TensorFlow

What you’ll learn

  • TensorFlow 2.0
  • Gradient Descent Algorithm
  • Create Pipeline regression model in TensorFlow
  • Lasso Regression
  • Feature Selection with lasso
  • Programming in TensorFlow 2.0
  • Selection of Penalty factor lambda
  • Visualizing graph in TensorBoard
  • Neuron or Perceptron Model Architecture
  • Loss or Cost Function
  • TensorFlow Keras API
  • Linear Regression
  • Create customized model in TensorFlow
  • Exploratory Data Analysis
  • Data Preprocessing
  • Multiple Linear Regression in TensorFlow

This course includes:

  • 5.5 hours on-demand video
  • 2 articles
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of completion

Requirements

  • Beginner to Python

Description

Welcome to the Course Introduction to Deep Learning with TensorFlow 2.0:

In this course, you will learn advanced linear regression technique process and with this, you can be able to build any regression problem. Using this you can solve real-world problems like customer lifetime value, predictive analytics, etc.

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