Academy Course
Deep Learning & Neural Networks
Learn neural networks. Master backpropagation, MLPs, convolutional grids, sequence processing models, and Transformer scaling.
Course Syllabus
Syllabus 1: Neural Nets Core
Perceptrons, backpropagations, activations (ReLU, Sigmoid), loss functions, and weights optimization.
Syllabus 2: Computer Vision
CNN layers, pooling, spatial filters, image classification, and object detection grids.
Syllabus 3: NLP & RNNs
Sequence processing models, LSTM, Gated Recurrent Units (GRU), and embeddings layers.
Syllabus 4: Transformers
Self-attention matrix calculations, multi-head configurations, pos encoding, and GPT models.
Duration: 8 Weeks · Level: Advanced
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