Intro to Deep Learning project in TensorFlow 2.x and Python [FREE]

Free Certification Course Title: Intro to Deep Learning project in TensorFlow 2.x and Python

Advanced implementation of regression modeling techniques like lasso regression in TensorFlow

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

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

Requirements:

  • Beginner to Python

Who this course is for:

  • Anyone who wants to build and train their own network
  • Curious about data science
  • Who want to learn Deep Learning

Description:

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

In this course, you will learn the 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.

What you will Learn

· TensorFlow 2.x

· Google Colab

· Linear Regression

· Gradient Descent Algorithm

· Data Analysis

· Regression

· Feature Engineering and Selection with Lasso Regression.

· Model Evaluation

All the above-mentioned techniques are explained in TensorFlow. In this course, you will work on the Project Customer Revenue (Lifetime value) Prediction using Gradient Descent Algorithm

This course includes:

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