Tensorflow Fundamentals: From Basics To Brilliant Ai Project

From Single Neuron to Advanced Projects: Master the Core Concepts of TensorFlow for Effective Deep Learning

What you'll learn

• A Solid Grasp of TensorFlow Basics

• Hands-on Experience in Building Deep Learning Models

• Knowledge of Model Training, Evaluation, and Optimization

• The Ability to Translate Concepts into Practical Code

• Confidence to Explore More Complex AI and Machine Learning Projects

Requirements

No prior experience with TensorFlow is required, but a basic understanding of machine learning concepts and Python will be helpful.

Description

Course Description:Welcome to the world of deep learning with TensorFlow! In this comprehensive course, "Fundamentals of TensorFlow," you'll embark on a journey through the essentials of one of the most powerful and widely used open-source libraries for machine learning and neural networks. Whether you're an aspiring data scientist, a developer, or someone intrigued by the world of artificial intelligence, this course will equip you with the knowledge and skills to harness the capabilities of TensorFlow effectively.Module 1: Course Overview In this module, we'll lay the foundation for your learning journey by providing you with an overview of the course and what you can expect to achieve by the end of it. You'll be introduced to the structure of the course, the topics covered in each module, and the learning outcomes.Module 2: Introduction to TensorFlow Here, we delve into the core concepts of TensorFlow. You'll gain a solid understanding of what TensorFlow is and how it serves as a backbone for developing machine learning and deep learning models. We'll explore the various products offered by TensorFlow and demystify the concept of tensorboard, an essential tool for visualizing model performance.Module 3: Building Your First Deep Learning Project Get ready to dive into hands-on implementation! In this module, we start by building your first deep learning project using TensorFlow. You'll begin with the basics by creating a single neuron implementation, followed by the exploration of artificial neural networks (ANNs). Through TensorFlow Playground, you'll experiment with model configurations and see how they impact learning. We'll cover the entire pipeline, from loading data to model training and evaluation, ensuring you're well-versed in every step of the process.Module 4: Multi-layer Deep Learning Project Take your skills to the next level as we delve deeper into the intricacies of multi-layer deep learning projects. You'll learn about training and epochs, the critical role of gradient descent, and the mechanics of backpropagation. We'll discuss the bias-variance tradeoff and explore performance metrics that help you assess your models effectively. The coding part of this module will empower you to put theory into practice and build a multi-layer deep learning project from scratch.By the end of this course, you'll have not only a theoretical understanding but also the practical experience of building and evaluating deep learning models using TensorFlow. Whether you're aiming to enhance your data science expertise, boost your machine learning skills, or expand your AI capabilities, "Fundamentals of TensorFlow" on Skillshare is your gateway to mastery in this exciting field.Who Should Enroll:Aspiring Data ScientistsMachine Learning EnthusiastsDevelopers Interested in AIAnyone Curious About Deep Learning and TensorFlowPrerequisites: No prior experience with TensorFlow is required, but a basic understanding of machine learning concepts and Python will be helpful.What You'll Gain:A Solid Grasp of TensorFlow BasicsHands-on Experience in Building Deep Learning ModelsKnowledge of Model Training, Evaluation, and OptimizationThe Ability to Translate Concepts into Practical CodeConfidence to Explore More Complex AI and Machine Learning ProjectsDon't miss out on this opportunity to unlock the power of TensorFlow and step into the world of deep learning. Enroll now and start your journey towards becoming a proficient TensorFlow practitioner!

Overview

Section 1: Introduction

Lecture 1 Introduction to Instructor

Lecture 2 Course Outline

Lecture 3 Your Honest Review

Lecture 4 Links for the Course's Materials and Codes

Section 2: Introduction to TensorFlow

Lecture 5 Links for the Course's Materials and Codes

Lecture 6 Module Introduction

Lecture 7 TensorFlow Definition and Properties

Lecture 8 Tensor Types and Tesnor Board

Lecture 9 How to use TensorFlow

Lecture 10 Google Colab

Lecture 11 Exercise

Lecture 12 Exercise Solution

Lecture 13 Quiz

Lecture 14 Quiz Solution

Section 3: 03-Building your first deep learning Project

Lecture 15 Links for the Course's Materials and Codes

Lecture 16 Module Introduction

Lecture 17 ANNs

Lecture 18 TensorFlow Playground

Lecture 19 Load TF and Data

Lecture 20 Model Training and Evaluation

Lecture 21 Project

Lecture 22 Project Implementation

Lecture 23 Quiz

Lecture 24 Quiz Solution

Section 4: 04-Multi-layer Deep Learning Project

Lecture 25 Links for the Course's Materials and Codes

Lecture 26 Module Introduction

Lecture 27 Training and Epochs

Lecture 28 Gradient Decent and Back Propagation

Lecture 29 Bias Variance Trade-Off

Lecture 30 Performance Metrics

Lecture 31 Project-Sales Predition

Lecture 32 Quiz

Lecture 33 Quiz Solution

• Aspiring Data Scientists,• Machine Learning Enthusiasts,• Developers Interested in AI,• Anyone Curious About Deep Learning and TensorFlow