Python ML Mastery: Unleash Intelligent Algorithms

Master Machine Learning in Python and create intelligent algorithms

Here's the list of the lessons in this course.

000 Introduction to Deep Learning

001 Setting Up the Environment - Installing Python and Libraries

002 Neural Networks Fundamentals

003 Building Your First Neural Network

004 Activation Functions and Loss Functions

005 Backpropagation - Training Neural Networks

006 Optimization Algorithms for Deep Learning

007 Convolutional Neural Networks (CNNs)

008 Transfer Learning and Fine-Tuning

009 Recurrent Neural Networks (RNNs)

010 Long Short-Term Memory (LSTM) Networks

011 Gated Recurrent Units (GRUs)

012 Sequence-to-Sequence Models

013 Autoencoders - Unsupervised Learning

014 Generative Adversarial Networks (GANs)

015 Variational Autoencoders (VAEs)

016 Reinforcement Learning and Deep Q Networks (DQNs)

017 Natural Language Processing (NLP) with Deep Learning

018 Time Series Forecasting with LSTM

019 Image Segmentation with U-Net

020 Deep Learning Best Practices and Tips

021 Deploying Deep Learning Models

022 Ethics and Considerations in Deep Learning

023 Future of Deep Learning and Emerging Technologies

024 Conclusion