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~Get Your Files Here !/03 - INTERMEDIATE/009 Creating Tiled Clones.mp4 137.2 MB
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~Get Your Files Here !/3 - Tokens and Embeddings/4 -How token boundaries are formed.mp4 231.0 MB
~Get Your Files Here !/2 - Training Methodologies/2 -Instruct tuning.mp4 164.5 MB
~Get Your Files Here !/5 - Transformer Architecture/1 -From Tokens To Text.mp4 158.4 MB
~Get Your Files Here !/2 - Training Methodologies/1 -Pre-training.mp4 151.6 MB
~Get Your Files Here !/5 - Transformer Architecture/3 -Understanding Attention in LLMs.mp4 144.5 MB
~Get Your Files Here !/3 - Tokens and Embeddings/2 -Tokenization Explained.mp4 140.0 MB
~Get Your Files Here !/6 - Context Management/2 -Challenges with Context Limit and Statelessness.mp4 139.4 MB
~Get Your Files Here !/1 - Language Modeling And Training/5 -Audience Questions.mp4 133.3 MB
~Get Your Files Here !/4 - Knowledge Assessment and Semantic Similarity/1 -Quiz Time Test Your Knowledge.mp4 130.7 MB
~Get Your Files Here !/7 - RAG and Vector Databases/1 -Introducing Retrieval Augmented Generation (RAG).mp4 130.0 MB
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~Get Your Files Here !/1 - Language Modeling And Training/1 -Understanding the Concept of Model.mp4 119.7 MB
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~Get Your Files Here !/5 - Transformer Architecture/2 -Introduction to Transformer Architecture.mp4 115.0 MB
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8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2.1 seq2seq-chatbot-master.zip.zip 1.2 GB
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22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
07 ANNs/009 Learning rates comparison.mp4 176.8 MB
12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
11 FFNs/003 FFN to classify digits.mp4 169.7 MB
16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
12 More on data/007 Data feature augmentation.mp4 166.0 MB
21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
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~Get Your Files Here !/Ex_Files_Full_Stack_Deep_Learning_Python/Exercise Files/final_code/datasets/emnist-letters-test.csv 28.6 MB
~Get Your Files Here !/04 - 3. Model Training and Hyperparameter Tuning/02 - Configuring and training the model using MLflow runs.mp4 16.3 MB
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