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đŦ 25+ Free Deep Learning Lessons
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From backpropagation to diffusion models â master neural network architectures with rigorous math and production code.
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What You Will Learn
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Backpropagation & Gradients
đī¸
CNNs & Vision
đ
Object Detection & Segmentation
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RNNs & Sequence Models
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Attention & Transformers
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GANs & VAEs
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Diffusion Models
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Graph Neural Networks
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All Lessons (25)
Click any lesson to start learning
- âĸWhat Is Deep Learning
- âĸMath Foundations For Dl
- âĸBackpropagation Algorithm
- âĸActivation Functions
- âĸLoss Functions For Dl
- âĸOptimizers Deep Learning
- âĸWeight Initialization
- âĸRegularization Deep Learning
- âĸCnn Architecture Deep Dive
- âĸObject Detection
- âĸSemantic Segmentation
- âĸRnn Deep Dive
- âĸLstm Networks
- âĸGru Networks
- âĸSequence To Sequence
- âĸAttention Mechanisms Deep Dive
- âĸVision Transformers
- âĸGans Deep Dive
- âĸVariational Autoencoders
- âĸDiffusion Models Deep Dive
- âĸGraph Neural Networks
- âĸModel Compression
- âĸNeural Architecture Search
- âĸSelf Supervised Learning
- âĸDeep Learning Systems Design
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