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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Don't let this gap widen
Sans maîtrise de l'analyse et visualisation des modèles IA via TensorBoard, vos entraînements Deep Learning restent opaques, multipliant les itérations inutiles et les bugs indétectés.
65% des data scientists perdent en moyenne 15 heures par semaine en debugging aveugle, gonflant les coûts de développement de 40% selon des benchmarks TensorFlow.
Votre entreprise s'expose alors à des modèles sous-optimaux, générant des pertes chiffrées à 150 000 € par projet raté en production.
Chaque retard dans cette compétence vitale compromet votre avance compétitive en IA, où la concurrence avance à vitesse grand V.
The Maîtriser TensorBoard : Analyse et Visualisation de vos Modèles IA training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Maîtriser TensorBoard : Analyse et Visualisation de vos Modèles IA training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Maîtriser TensorBoard : Analyse et Visualisation de vos Modèles IA training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Tour d’horizon de TensorBoard : historique, utilité et architecture. Préparation de l’environnement (installation, lancement sur serveur local et distant). Notions de logs et fonctionnement avec TensorFlow. Bonne pratique d’organisation des logs pour des projets de taille croissante.
Ajout de journalistes TensorBoard dans les scripts d’entraînement TensorFlow (tf.summary). Génération des métriques de base (loss, accuracy), suivi étape/epoch, enregistrement de modèles, visualisation des graphes de calcul. Exercices de modification de notebooks/Keras et TensorFlow classiques pour intégrer TensorBoard de façon optimale.
Lecture approfondie de l’interface TensorBoard : scalars, images, distributions, histogrammes, embeddings. Étude de cas pratiques : analyse comparative d’entraînements, debug d’instabilités (plateau, surapprentissage, etc.), plugins personnalisés (profiling, projecteur d’embeddings). Création d’alertes, export et sauvegarde des visualisations pour le reporting et la communication de projets IA.
Target audience
Développeurs, ingénieurs, data scientists et chercheurs souhaitant améliorer leur compréhension et monitoring des modèles Deep Learning avec TensorFlow
Prerequisites
Connaissances de base en Python et notions essentielles en apprentissage profond (Deep Learning) et TensorFlow
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