Sciences formelles & physiques IA — Modèles & RechercheFRGenerative AI L16: LSTMsAgha Ali Raza11 mars 2026 35 min★ ★ ★ ★ ☆ 4/5LSTMRéseaux De Neurones RécurrentsDeep Learning
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 18: Positional encodingsAgha Ali Raza8 mars 2026 53 min★ ★ ★ ★ ☆ 4/5TransformerPositional EncodingDeep Learning
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 17: Transformers (first pass)Agha Ali Raza6 mars 2026 54 min★ ★ ★ ★ ☆ 4/5TransformersDeep LearningSelf-Attention
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 16: attention, drawbacks of RNN & LSTM, intro. to transformersAgha Ali Raza1 mars 2026 58 min★ ★ ★ ★ ☆ 4/5AttentionTransformersRNN
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 15: Methods of computing attentionAgha Ali Raza27 février 2026 24 min★ ★ ★ ★ ☆ 4/5AttentionDeep LearningSeq2seq
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 14: Conditional language models, encoder-decoder, attention.Agha Ali Raza22 février 2026 58 min★ ★ ★ ★ ☆ 4/5AttentionEncodeur-DécodeurModèle De Langage
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 13: LSTMs, bi-directional, multi-layer, teacher forcing.Agha Ali Raza20 février 2026 58 min★ ★ ★ ★ ☆ 4/5LSTMRNNDeep Learning
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 12: RNN variations, its issues, possible solutions. LSTMs.Agha Ali Raza15 février 2026 57 min★ ★ ★ ★ ☆ 4/5RNNLSTMDeep Learning
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 11: RNNs training, derivations, applications and more!Agha Ali Raza13 février 2026 73 min★ ★ ★ ★ ☆ 4/5RNNDeep LearningBackpropagation
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 10: Feed-forward NNs, pooling layer, sequence modelling, RNNsAgha Ali Raza8 février 2026 48 min★ ★ ★ ★ ☆ 4/5RNNCBoWPlongement Lexical
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 9: Developing a complete feed-forward neural networkAgha Ali Raza6 février 2026 75 min★ ★ ★ ★ ☆ 4/5Réseau De NeuronesFeed-ForwardRétropropagation
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 8: Embeddings: maths, negative sampling, best practices, biasAgha Ali Raza1 février 2026 74 min★ ★ ★ ★ ☆ 4/5EmbeddingsSkip-GramÉchantillonnage Négatif
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 7: Embeddings (cont.) - Word2vec, Skipgram, CBOWAgha Ali Raza30 janvier 2026 77 min★ ★ ★ ★ ☆ 4/5EmbeddingsWord2vecSkip-Gram
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 6: Embeddings – Word formations, ambiguity, vectorizationAgha Ali Raza25 janvier 2026 78 min★ ★ ★ ★ ☆ 4/5EmbeddingsTraitement Automatique Des LanguesSémantique
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 5: Tokenization (cont.) – algorithms, examples, best practicesAgha Ali Raza23 janvier 2026 52 min★ ★ ★ ★ ☆ 4/5TokenisationBPEWordPiece
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 4: Tokenization – concept, types, their problems, solutionsAgha Ali Raza18 janvier 2026 77 min★ ★ ★ ★ ☆ 4/5TokenizationNLPLLM
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 3: Language - embeddings to encoding, modelling to fine-tuningAgha Ali Raza16 janvier 2026 81 min★ ★ ★ ★ ☆ 4/5EmbeddingsRNNAttention
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 2: Language – concepts to terminologies, vectors to embeddingsAgha Ali Raza11 janvier 2026 77 min★ ★ ★ ★ ☆ 4/5IA GénérativeNLPTokenisation
Sciences formelles & physiques IA — Modèles & RechercheFR[Generative AI in Urdu/Hindi] Lecture 1: Course expectations, objectives and contentsAgha Ali Raza9 janvier 2026 20 min★ ★ ★ ★ ☆ 4/5IA GénérativeNLPCours
![[Generative AI in Urdu/Hindi] Lecture 18: Positional encodings](https://i.ytimg.com/vi/5ElJUeInD5g/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 17: Transformers (first pass)](https://i.ytimg.com/vi/-FEuUtT_T_E/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 16: attention, drawbacks of RNN & LSTM, intro. to transformers](https://i.ytimg.com/vi/5Z11FbrWswk/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 15: Methods of computing attention](https://i.ytimg.com/vi/s82WGvA8MMg/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 14: Conditional language models, encoder-decoder, attention.](https://i.ytimg.com/vi/Q2cPX96n7is/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 13: LSTMs, bi-directional, multi-layer, teacher forcing.](https://i.ytimg.com/vi/w8ifNHyUVxI/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 12: RNN variations, its issues, possible solutions. LSTMs.](https://i.ytimg.com/vi/aQRcM6g_mJw/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 11: RNNs training, derivations, applications and more!](https://i.ytimg.com/vi/xvFnn_dDJK0/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 10: Feed-forward NNs, pooling layer, sequence modelling, RNNs](https://i.ytimg.com/vi/INcVmFLzpU4/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 9: Developing a complete feed-forward neural network](https://i.ytimg.com/vi/JjeDSKMTJdw/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 8: Embeddings: maths, negative sampling, best practices, bias](https://i.ytimg.com/vi/KVb15f8RWjI/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 7: Embeddings (cont.) - Word2vec, Skipgram, CBOW](https://i.ytimg.com/vi/NNHDsSmJbic/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 6: Embeddings – Word formations, ambiguity, vectorization](https://i.ytimg.com/vi/lQUgj8t1lsc/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 5: Tokenization (cont.) – algorithms, examples, best practices](https://i.ytimg.com/vi/pRBDh1zj9nQ/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 4: Tokenization – concept, types, their problems, solutions](https://i.ytimg.com/vi/VYGzh23q7n4/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 3: Language - embeddings to encoding, modelling to fine-tuning](https://i.ytimg.com/vi/IUGf8e3uEfo/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 2: Language – concepts to terminologies, vectors to embeddings](https://i.ytimg.com/vi/RkqRDK7h7po/maxresdefault.jpg)
![[Generative AI in Urdu/Hindi] Lecture 1: Course expectations, objectives and contents](https://i.ytimg.com/vi/g9FIL-ZtIkE/maxresdefault.jpg)