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Deep Learning and GenAI
Diploma Level - Week 1 to 12
1
Week 1
Neurons, Activations, Backpropagation and XOR
2
Week 2
PyTorch: Tensors, Autograd, nn.Module and the Training Loop
3
Week 3
Convolutional Neural Networks: Convolution, Pooling and the Receptive Field
4
Week 4
BatchNorm, Dropout, ResNet, Transfer Learning and U-Net
5
Week 5
Optimisation: SGD, Momentum, Adam and Learning-Rate Schedules
6
Week 6
Generative Models and GANs
7
Week 7
RNN, BPTT and LSTM
8
Week 8
GRU, Seq2Seq, Beam Search and BLEU
9
Week 9
Embeddings and Attention
10
Week 10
The Transformer: Positional Encoding, BERT, GPT and ViT
11
Week 11
Diffusion Models: DDPM, DDIM, Guidance and Latent Diffusion
12
Week 12
LoRA, RAG, FAISS and Working with LLMs