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Deep Learning Bootcamp
Advanced
4.8 (1.2k reviews)
Master Neural Networks, CNNs, RNNs, and Transformers with PyTorch. Build state-of-the-art models.
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Course Roadmap
Step 1
Neural Network Basics
Neurons, Activation Functions, and The Perceptron
Step 2
Training Dynamics
Loss Functions, Gradient Descent, and Backpropagation
Step 3
PyTorch Fundamentals
Tensors, Autograd, and Building Custom Modules
Step 4
Computer Vision (CNNs)
Convolutions, Pooling, ResNets, and Transfer Learning
Step 5
Sequence Models (RNNs/LSTMs)
Handling Time Series and Sequential Data
Step 6
Attention & Transformers
Self-Attention, Multi-Head Attention, and BERT Architecture
Step 7
Generative Models
VAEs and GANs (Generative Adversarial Networks)
Step 8
Capstone Project
Train a Style Transfer Model from Scratch