Kickstart TensorFlow & Keras in a Day
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisite
- Audience
- Audience
- Curriculum
Description:
"Unlock the Power of TensorFlow & Keras in Just One Day! Discover why TensorFlow is a cornerstone of Machine and Deep Learning, with top experts commanding over 200K salaries and incredible demand. Dive into our course, where we'll lay the essential groundwork for constructing Artificial Neural Networks with TensorFlow. Gain an in-depth understanding of tensors and their manipulation techniques. Then, seamlessly transition into building your own neural network using Keras and TensorFlow, all while mastering the diverse Keras APIs. Kickstart your journey to TensorFlow and Keras expertise with our comprehensive training!"
Course Code/Duration:
BDT185 / 1 Day
Learning Objectives:
After this course, you will be able to:
- TensorFlow Fundamentals
- Working with Tensors
- Artificial Neural Network (Regression)
- Artificial Neural Network (Classification)
- Transfer Learning
- Basic knowledge of python and fundamentals of Machines Learning.
- This course is designed for anyone interested to get started with using TensorFlow and build Artificial Neural Networks. It is geared towards Data Scientists, Data Engineers, Software Engineers, Software Architects, Quality Assurance Engineers.
- This course is designed for anyone interested to get started with using TensorFlow and build Artificial Neural Networks. It is geared towards Data Scientists, Data Engineers, Software Engineers, Software Architects, Quality Assurance Engineers.
Course Outline:
- TensorFlow Fundamentals
- Machine Learning v/s Deep Learning what’s the difference?
- Understand what is TensorFlow?
- Why use TensorFlow?
- Working with Tensors
- What are tensors?
- Creating Tensors
- Getting Tensor Attributes
- Manipulating Tensors
- Math operations on Tensors
- NumPy & Tensors
- Hands-on lab with Tensors
- Artificial Neural Network – Regression
- Learn to build a neural network for a regression problem
- Understand building a sequential network with layers
- Components that make up neural networks (loss function, architecture, optimization functions)
- Hands-on lab with ANN for Regression
- Artificial Neural Network – Classification
- Build a neural network for a classification problem
- Learn about the loss functions, metrics and optimizers used for Classification
- Hands-on lab with ANN for Classification
- Transfer Learning
- Understand what is transfer learning with TensorFlow
- Learn about transfer learning types
- Using TensorFlow Hub for pre-trained models
- Learn about using TensorFlow Callbacks
- Learn about building a model with Keras Functional API
- Hands-on lab with Transfer Learning
Training material provided:
Yes (Digital format)
- Hands-on Lab: All the labs will be done in Google’s Colaboratory (Colab). Student must have a GMAIL Id that they can use.
The curriculum is empty
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