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Start Here
Learn AI
Deep Learning Fundamentals
Advanced Deep Learning
AI Software Engineering
Books & Courses
Get started with Deep Learning
Deep Reinforcement Learning Course
GANs in Computer Vision Free Ebook
Projects
Medical Zoo
Self Attention CV
Resources
About
Contact
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Deep Learning topics
Over the past year, we have explored 21 different Deep Learning topics and have written over 70 high detailed articles and tutorials
Autoencoders
How to Generate Images using Autoencoders
The theory behind Latent Variable Models: formulating a Variational Autoencoder
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Attention and Transformers
How the Vision Transformer (ViT) works in 10 minutes: an image is worth 16x16 words
How Transformers work in deep learning and NLP: an intuitive introduction
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Business
Apply Machine Learning to your Business
Deep Learning in Production: Laptop set up and system design
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Career
How to get hired as a Machine Learning Engineer
Best bootcamps and programs to learn Machine Learning and Data Science
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Convolutional Neural Networks
Best deep CNN architectures and their principles: from AlexNet to EfficientNet
Understanding the receptive field of deep convolutional networks
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Computer Vision
Semantic Segmentation in the era of Neural Networks
Localization and Object Detection with Deep Learning
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Data Processing
Data preprocessing for deep learning: How to build an efficient big data pipeline
Data preprocessing for deep learning: Tips and tricks to optimize your data pipeline using Tensorflow
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Generative Learning
GANs in computer vision - self-supervised adversarial training and high-resolution image synthesis with style incorporation
GANs in computer vision - semantic image synthesis and learning a generative model from a single image
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Generative Adversarial Networks
GANs in computer vision - Introduction to generative learning
GANs in computer vision - 2K image and video synthesis, and large-scale class-conditional image generation
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Graph Neural Networks
Graph Neural Networks - An overview
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Machine Learning
A journey into Optimization algorithms for Deep Neural Networks
Neural Network from scratch-part 2
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Medical
Deep learning in MRI beyond segmentation: Medical image reconstruction, registration, and synthesis
Introduction to medical image processing with Python: CT lung and vessel segmentation without labels
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MLOps
How to use Docker containers and Docker Compose for Deep Learning applications
How to use uWSGI and Nginx to serve a Deep Learning model
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Natural Language Processing
Document clustering
How Transformers work in deep learning and NLP: an intuitive introduction
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Pytorch
Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch
Best deep CNN architectures and their principles: from AlexNet to EfficientNet
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Recurrent Neural Networks
Recurrent neural networks: building a custom LSTM cell
Recurrent Neural Networks: building GRU cells VS LSTM cells in Pytorch
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Reinforcement Learning
Deep Q Learning and Deep Q Networks
The idea behind Actor-Critics and how A2C and A3C improve them
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Resources
Top 10 courses to learn Machine and Deep Learning (2020)
The Best Machine Learning books to learn AI
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Software
How to Unit Test Deep Learning: Tests in TensorFlow, mocking and test coverage
Logging and Debugging in Machine Learning - How to use Python debugger and the logging module to find errors in your AI application
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Tensorflow
How to build a custom production-ready Deep Learning Training loop in Tensorflow from scratch
Distributed Deep Learning training: Model and Data Parallelism in Tensorflow
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Unsupervised Learning
Self-supervised representation learning on videos
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