Mastering Deep Learning with Python

A comprehensive course covering the foundations of deep learning and neural networks, computer vision, and advanced techniques, through to real-world and creative applications including text and sequence data, based on Deep Learning with Python by Francois Chollet.

Beginner
15.3 hours
Self-paced
No certificate
17 chapters
48 modules
130 articles
28 quizzes
0 learners enrolled

Course Overview

A comprehensive course covering the foundations of deep learning and neural networks, computer vision, and advanced techniques, through to real-world and creative applications including text and sequence data, based on Deep Learning with Python by Francois Chollet.

Course Syllabus

Chapter 1 — Foundations of Deep Learning

Module: Understanding Deep Learning Basics

Module: Neural Network Fundamentals

Tensor Operations in Neural Networksarticle
Anatomy of a Neural Networkarticle

Chapter 2 — Accessing Support Resources

Module: Using the Private Web Forum

Accessing the Forumarticle
Understanding Forum Participationarticle
Forum Access Quizquiz

Chapter 3 — Introduction to Deep Learning

Module: Overview of Part 1

Course Structure and Objectivesarticle

Chapter 4 — Foundational Concepts in Deep Learning

Module: Introduction to Fundamentals

Understanding Deep Learning Fundamentalsarticle

Chapter 5 — Introduction to Deep Learning

Module: Understanding Deep Learning Fundamentals

Defining Deep Learning and Related Conceptsarticle
History and Development of Machine Learningarticle
Significance and Future of Deep Learningarticle
Canonical Workflow for Deep Learningarticle
Deep Learning Fundamentals Quizquiz

Chapter 6 — Introduction to Deep Learning

Module: Understanding AI, Machine Learning, and Deep Learning

Defining Artificial Intelligencearticle
Machine Learning Basicsarticle
Learning Representations from Dataarticle
The Concept of Deep Learningarticle
AI and Machine Learning Basics Quizquiz

Module: History of Machine Learning

Probabilistic Modelingarticle
Early Neural Networks and Kernel Methodsarticle
History of Machine Learning Quizquiz

Module: Why Deep Learning Now?

Why Hardware Advances Made Deep Learning Practicalarticle
Data and Algorithmic Advancesarticle
Why Deep Learning Now? Quizquiz

Chapter 7 — Getting Started with Deep Learning

Module: Prerequisites and Target Audience

Module: Software and Hardware Requirements

Module: Accessing the Source Code

Downloading Code Examplesarticle

Module: Course Structure and Roadmap

How the Deep Learning Course Is Organizedarticle
Part 1: Introduction to Deep Learningarticle
Part 2: Practical Applicationsarticle
Course Structure Quizquiz

Chapter 8 — Advanced Deep Learning Techniques

Module: Introduction to Advanced Deep Learning

Overview of Advanced Deep Learning Topicsarticle

Chapter 9 — Computer Vision with Deep Learning

Module: Introduction to Convolutional Neural Networks

Building a Simple Convnetarticle
Understanding the Convolution Operationarticle
Understanding Max-Poolingarticle
Convnet Basics Quizquiz

Module: Training a Convnet on a Small Dataset

Preparing the Datasetarticle
Building and Training a Small Image Classifierarticle
Data Preprocessing and Augmentationarticle

Module: Using Pretrained Convnets

Feature Extraction with Pretrained Convnetsarticle
Pretrained Convnets Quizquiz

Chapter 10 — Introduction to Neural Networks

Module: Understanding Neural Network Components

Module: Introduction to Keras and Workstation Setup

Keras Overviewarticle
Setting Up a Deep-Learning Workstationarticle

Module: Practical Examples with Keras

Chapter 11 — Mathematical Foundations of Neural Networks

Module: Tensors and Tensor Operations

Introduction to Tensorsarticle
Scalar, Vector, and Matrix Tensorsarticle
Higher-Dimensional Tensorsarticle
Key Attributes of Tensorsarticle
Tensor Slicing and Batchingarticle
Real-World Examples of Data Tensorsarticle
Tensors and Tensor Operations Quizquiz

Module: Tensor Operations in Neural Networks

Module: Introduction to Neural Networks

Classifying Handwritten Digits with Kerasarticle
Understanding Classification Terminologyarticle
Neural Network Basics Quizquiz

Module: Gradient-Based Optimization

Derivatives and Gradientsarticle
Stochastic Gradient Descentarticle
Backpropagation: Sending Error Information Back Through a Networkarticle
Gradient-Based Optimization Quizquiz

Chapter 12 — Machine Learning Essentials

Module: Branches of Machine Learning

Supervised Learningarticle
Unsupervised Learningarticle
Self-Supervised and Reinforcement Learningarticle
Machine Learning Glossaryarticle
Branches of Machine Learning Quizquiz

Module: Evaluating Machine Learning Models

Training, Validation, and Test Setsarticle
Evaluation Protocolsarticle

Module: Data Preprocessing and Feature Engineering

Data Preprocessing for Neural Networksarticle
Feature Engineeringarticle
Data Preprocessing Quizquiz

Module: Overfitting and Underfitting

Understanding Overfitting and Underfittingarticle
Reducing Overfittingarticle

Module: The Universal Workflow of Machine Learning

Defining the Problem and Assembling Dataarticle
Choosing a Measure of Success and Evaluation Protocolarticle
Preparing Data and Developing a Modelarticle
Scaling Up and Regularizing Your Modelarticle

Chapter 13 — Applying Deep Learning in Real-World Scenarios

Module: Introduction to Convolutional Neural Networks

Understanding Convolutional Neural Networksarticle

Module: Techniques for Improving Convolutional Neural Networks

Module: Visualizing Convolutional Neural Networks

Understanding Convnet Decisions Through Visualizationarticle

Chapter 14 — Advanced Techniques for Deep Learning Models

Module: Advanced Model Optimization Techniques

Batch Normalization and Depthwise Separable Convolutionarticle
Hyperparameter Optimizationarticle
Model Ensemblingarticle
The Hypothesis Space: What a Network Topology Lets You Search Forarticle

Module: Building Complex Models with the Keras Functional API

Introduction to the Keras Functional APIarticle
Building Multi-Input Models with Kerasarticle
Building Multi-Output Modelsarticle
Directed Acyclic Graphs of Layersarticle

Module: Monitoring and Controlling Model Training

Chapter 15 — Creative Applications of Deep Learning

Module: Text Generation with LSTM

Introduction to Sequence Data Generationarticle
Why Sampling Strategy Matters in Text Generationarticle
Implementing Character-Level LSTM Text Generationarticle
Text Generation Quizquiz

Module: DeepDream

How DeepDream Turns Learned Features into Visual Patternsarticle

Module: Neural Style Transfer

Neural Style Transfer Conceptarticle
Implementing Neural Style Transferarticle
Neural Style Transfer Quizquiz

Module: Variational Autoencoders

Introduction to Variational Autoencodersarticle
VAE Implementationarticle

Module: Generative Adversarial Networks

GAN Basicsarticle
GAN Implementation: Placing GANs in Generative Deep Learningarticle
GAN Quizquiz

Chapter 16 — Creative Applications of Deep Learning

Module: Text Generation with LSTM

Introduction to Sequence Data Generationarticle
Why Sampling Strategy Matters in Text Generationarticle
Implementing Character-Level LSTM Text Generationarticle
Text Generation Quizquiz

Module: Variational Autoencoders and GANs

Introduction to Variational Autoencodersarticle
Implementing VAEs in Kerasarticle
Introduction to Generative Adversarial Networksarticle
GAN Implementation Detailsarticle
VAE and GAN Quizquiz

Module: DeepDream

DeepDream Algorithmarticle
Implementing DeepDream in Kerasarticle

Module: Neural Style Transfer

Understanding Neural Style Transferarticle
Implementing Neural Style Transfer in Kerasarticle

Chapter 17 — Deep Learning for Text and Sequence Data

Module: Text Preprocessing and Word Embeddings

Understanding Text Vectorizationarticle
One-Hot Encoding of Words and Charactersarticle
Using Word Embeddingsarticle
Learning Word Embeddings with the Embedding Layerarticle
Using Pretrained Word Embeddingsarticle
Text Preprocessing Quizquiz

Module: Recurrent Neural Networks

Introduction to Recurrent Neural Networksarticle
SimpleRNN Layer in Kerasarticle
Understanding LSTM and GRU Layersarticle
Building an LSTM Model in Kerasarticle
RNN Quizquiz

Module: Advanced Use of Recurrent Neural Networks

Temperature Forecasting Problemarticle
Preparing Temperature Data for Forecastingarticle
Recurrent Dropout and Stacking Recurrent Layersarticle
Bidirectional Recurrent Layersarticle
Advanced RNN Techniques Quizquiz

Module: Sequence Processing with Convnets

Using 1D Convnets with Sequence Dataarticle
1D Pooling for Sequence Dataarticle
Implementing a 1D Convnetarticle
Combining CNNs and RNNsarticle
Mapping Data Types to Deep Learning Applicationsarticle
Connect to Your EC2 GPU Instance and Manage Its Keysarticle
Local Generalization vs. Extreme Generalizationarticle
Setting Up an AWS GPU Instancearticle
1D Convnets Quizquiz

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Mastering Deep Learning with Python