Interactive Learning

Engage in dynamic lessons that keep you motivated and excited to learn.

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Study at your own pace and fit learning into your busy lifestyle.

About the Course

Are you ready to embark on a journey towards mastering the French language? Our course is designed to help you achieve fluency through interactive lessons, expert guidance, and a flexible schedule. Say goodbye to language barriers and hello to a world of opportunities. Join us today and open the door to new horizons!

Meet Your Instructor

Bonjour! I'm [Your Name], your dedicated language coach with years of experience in teaching French. I understand the challenges of language learning and am here to support you every step of the way. Let's make learning French fun and rewarding together!

Course Curriculum

16 Chapters · 50 Lessons

  1. 1

    Introduction au Français

    1. (Included in full purchase)

      Alphabet et Prononciation

  2. 2

    Vocabulaire Essentiel

    1. (Included in full purchase)

      Nombres et Couleurs

  3. 3

    Grammaire Fondamentale

    1. (Included in full purchase)

      Structure des Phrases

  4. 4

    Communication Active

    1. (Included in full purchase)

      Poser des Questions

  5. 5

    Culture Francophone

    1. (Included in full purchase)

      Cuisine et Gastronomie

  6. 6

    Chapitre 00 - Introduction et Installation

    1. (Included in full purchase)

      Presentation du cours et pourquoi le deep learning ?

    2. (Included in full purchase)

      Installer Python, TensorFlow et Keras (ou Google Colab)

    3. (Included in full purchase)

      Premier reseau "Hello World" sur MNIST

  7. 7

    Chapitre 01 - Le Neurone Artificiel

    1. (Included in full purchase)

      Du neurone biologique au neurone artificiel

    2. (Included in full purchase)

      Poids, biais, somme ponderee

    3. (Included in full purchase)

      Fonctions d'activation : sigmoid, tanh, ReLU

    4. (Included in full purchase)

      Coder un perceptron en NumPy from scratch

  8. 8

    Chapitre 02 - Du Perceptron au Reseau Multicouche

    1. (Included in full purchase)

      Architecture MLP : input, hidden, output

    2. (Included in full purchase)

      Forward pass : du vecteur d'entree a la prediction

    3. (Included in full purchase)

      Representation matricielle et NumPy

    4. (Included in full purchase)

      Universalite : ce que peut theoriquement apprendre un MLP

  9. 9

    Chapitre 03 - Apprentissage Loss et Gradient

    1. (Included in full purchase)

      Fonctions de cout : MSE, Cross-Entropy

    2. (Included in full purchase)

      Descente de gradient : intuition geometrique

    3. (Included in full purchase)

      Learning rate : choix et impact

    4. (Included in full purchase)

      Gradient descent stochastique vs batch vs mini-batch

  10. 10

    Chapitre 04 - Backpropagation Expliquee

    1. (Included in full purchase)

      Regle de chaine et derivees composees

    2. (Included in full purchase)

      Backprop sur un reseau a 2 couches (papier-crayon)

    3. (Included in full purchase)

      Implementation NumPy pas a pas

    4. (Included in full purchase)

      Verification numerique du gradient

  11. 11

    Chapitre 05 - Optimisation et Convergence

    1. (Included in full purchase)

      Momentum et Nesterov

    2. (Included in full purchase)

      RMSProp, Adam, AdamW

    3. (Included in full purchase)

      Batch Normalization

    4. (Included in full purchase)

      Learning rate schedulers et warmup

  12. 12

    Chapitre 06 - Regularisation et Generalisation

    1. (Included in full purchase)

      Overfitting vs underfitting : diagnostic

    2. (Included in full purchase)

      Dropout : intuition et implementation

    3. (Included in full purchase)

      Regularisation L1, L2 et weight decay

    4. (Included in full purchase)

      Early stopping et data augmentation

  13. 13

    Chapitre 07 - Construire des Reseaux avec Keras

    1. (Included in full purchase)

      Sequential API : construire un MLP en 10 lignes

    2. (Included in full purchase)

      Functional API pour architectures plus complexes

    3. (Included in full purchase)

      Callbacks : early stopping, model checkpoint, learning rate

    4. (Included in full purchase)

      TensorBoard pour visualiser l'entrainement

  14. 14

    Chapitre 08 - Debogage et Bonnes Pratiques

    1. (Included in full purchase)

      Checklist "mon reseau n'apprend pas"

    2. (Included in full purchase)

      Vanishing et exploding gradients

    3. (Included in full purchase)

      Initialisation des poids (He, Xavier)

  15. 15

    Chapitre 09 - Projet Final Classification d Images

    1. (Included in full purchase)

      Presentation du projet et exploration du dataset

    2. (Included in full purchase)

      Pre-traitement et augmentation des images

    3. (Included in full purchase)

      Modelisation, entrainement et tuning

    4. (Included in full purchase)

      Evaluation, matrice de confusion et conclusion

  16. 16

    Chapitre 10 - Activites et Evaluations

    1. (Included in full purchase)

      Quiz 1 – Neurone et MLP – 5 %

    2. (Included in full purchase)

      Quiz 2 – Loss, gradient et backprop – 5 %

    3. (Included in full purchase)

      Evaluation de mi-session – 25 %

    4. (Included in full purchase)

      Quiz 3 – Optimisation et regularisation – 5 %

    5. (Included in full purchase)

      Projet etudiant – Classification d'images – 20 %

    6. (Included in full purchase)

      Evaluation finale – 40 %

    7. (Included in full purchase)

      Guide complet du projet final

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Ready to Start Your French Journey?

Unlock the door to fluency and expand your horizons with our premier French language course.

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