Build and train Deep Learning neural networks with TensorFlow 2.0Deep Learning has caused the revival of Artificial Intelligence. It has become the dominant method for speech recognition (Google Assistant), computer vision (search for "my pictures" on Google Photos), language translation, and even game-related Artificial Intelligence (think AlphaGo and DeepMind). If you'd like to learn how these systems work and maybe make your own, Deep Learning is for you!In this course, you’ll gain a solid understanding of Deep Learning models and use Deep Learning techniques to solve business and other real-world problems to make predictions quickly and easily. You’ll learn various Deep Learning approaches such as CNN, RNN, and LSTM and implement them with TensorFlow 2.0. You’ll program a model to classify breast cancer, predict stock market prices, process text as part of Natural Language Processing (NLP), and more.By the end of this course, you’ll have a complete understanding to use the power of TensorFlow 2.0 to train Deep Learning models of varying complexities, without any hassle.Note that Miniconda and TensorFlow 2.0 installations are required for taking this course.All the code and supporting files for this course are available on GitHub at About the AuthorHarveen Singh Chadha is an experienced researcher in Deep Learning and is currently working as a Self-Driving Car Engineer. He is currently focused on creating an Advanced Driver Assistance Systems (ADAS) platform. His passion is to help people who currently want to enter the Data Science universe. He is the author of the video course Hands-On Neural Network Programming with TensorFlow by Packt Publishing
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About this course
Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
Study the various Deep Learning model architectures and work with them
Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics; and classifying flower species
Apply your newly-acquired skills to a wide array of practical and real-world scenarios
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This centre's achievements
2021
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
Network Training
Install
Cleaning
Systems
Algorithms
Data analysis
Installation
Network
Works
Networks
Artificial Intelligence
Course programme
Deep Learning Introduction and Environment Setup
5 lectures22:58The Course Overview This video gives an overview of the entire course.What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learningIntroduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlowWhat's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deploymentSetting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
Deep Learning Introduction and Environment Setup
5 lectures22:58The Course Overview This video gives an overview of the entire course.What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learningIntroduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlowWhat's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deploymentSetting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
The Course Overview This video gives an overview of the entire course.
The Course Overview This video gives an overview of the entire course.
The Course Overview This video gives an overview of the entire course.
The Course Overview This video gives an overview of the entire course.
This video gives an overview of the entire course.
This video gives an overview of the entire course.
What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
What Is Deep Learning? This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
This video aims to explain and introduce deep learning.
• Introduction to deep learning and machine learning
• Understand neural networks
• The importance of deep learning
Introduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
Introduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
Introduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
Introduction to TensorFlow This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
This video aims to explain and introduce TensorFlow.
• Introduction to TensorFlow
• Know why to use TensorFlow
• Learn more about TensorFlow
What's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
What's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
What's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
What's New in TensorFlow 2.0? This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
This video aims to explain and introduce the new features of TensorFlow 2.0.
• Introduction to Keras
• Know about eager execution
• Learn about robust model deployment
Setting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
Setting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
Setting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
Setting Up Environment for TensorFlow 2.0 This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
This video aims to demonstrate TensorFlow installation.
• Install Conda
• Install TensorFlow
• Use Google Colab
Building First Neural Network for Tabular Data with TensorFlow 2.0
5 lectures30:03Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating modelForward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functionsLoss Functions This video aims to explain and introduce loss functions.
• Brief introduction to loss functions
• Understand MSE
• Learn about cross entropy lossBackpropagation This video aims to explain and introduce backpropagation.
• Introduction to backpropagation
• Understand backpropagation using a picture
• Learn about gradient descentCreating First Neural Network This video aims to explain and demonstrate how to create and train a neural network model.
• Import Libraries and perform data Wrangle
• Build Model data
• Evaluate the model
Building First Neural Network for Tabular Data with TensorFlow 2.0.
5 lectures30:03Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating modelForward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functionsLoss Functions This video aims to explain and introduce loss functions.
• Brief introduction to loss functions
• Understand MSE
• Learn about cross entropy lossBackpropagation This video aims to explain and introduce backpropagation.
• Introduction to backpropagation
• Understand backpropagation using a picture
• Learn about gradient descentCreating First Neural Network This video aims to explain and demonstrate how to create and train a neural network model.
• Import Libraries and perform data Wrangle
• Build Model data
• Evaluate the model
Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
Pipeline for Building Neural Network This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
This video aims to explain the steps in pipeline to build a neural network.
• Know the steps in pipeline to build a neural network
• Understand Loading libraries, Loading data, and Cleaning data
• Understand Exploratory data analysis, Modelling data, and Evaluating model
Forward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
Forward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
Forward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
Forward Propagation This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
This video aims to explain and introduce forward propagation.
• Brief introduction to forward propagation
• Understand how forward perceptron works
• Learn about activation functions
Loss Functions This video aims to explain and introduce loss functions.
• Brief introduction to loss functions
• Understand MSE
• Learn about cross entropy loss
Loss Functions This video aims to explain and introduce loss functions.
• Brief introduction to loss functions
• Understand MSE
• Learn about cross entropy loss
Loss Functions This video aims to explain and introduce loss functions.
• Brief introduction to loss functions
• Understand MSE
• Learn about cross entropy loss
Loss Functions This video aims to explain and introduce loss functions video aims to demonstrate how to train and test a model.
• ...
