Search Results - "Keras"

The deep learning with keras workshop : Learn how to define and train neural network models with just few lines of code / by Moocarme, Matthew

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Hands-on machine learning with scikit-learn, keras, and tensorflow : Concepts, tools, and techniques to build intelligent systems / by Géron, Aurélien

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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. by Kapoor, Amita

Table of Contents: “…-- Prediction using linear regression -- Simple linear regression -- Multiple linear regression -- Multivariate linear regression -- Neural networks for linear regression -- Simple linear regression using TensorFlow Keras.…”
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Scikit-Learn, Keras ve TensorFlow ile uygulamalı makine öğrenmesi / by Geron, Aurelien

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Practical deep learning for cloud, mobile, and edge : real-world ai & computer-vision projects using Python, Keras & TensorFlow/ by Koul, Anirudh

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Python ortamında derin öğrenme uygulamaları / by Çetiner, Halit

Table of Contents: “…Derin Öğrenme- OpenCV - Yapay Zeka - Veri Çoğaltma - Transfer Öğrenme - Keras - Tensorflow…”
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Yapay zekayı kodlamak: yapay zeka, makine öğrenmesi derin öğrenme, sinir ağları/ by Sebetci, Özel

Table of Contents: “…Yapay zeka (artificial intewligence - AI) - Phyton - Nesne yönelimli programlama - Modüller, Kütüphaneler ve araçlar - Tensorflow ve keras kütüphaneleri - veri bilimi - Matematik, istatistik ve yapay zeka - Makine öğrenmesi - Yapay sinir ağları - Derin öğrenme - Uygulamalar…”
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Neural Network Computer Vision with OpenCV 5. by Nuti, Gopi Krishna

Table of Contents: “…Modern Solutions for Image Classification -- Introduction -- Structure -- Objectives -- CNNS for classification -- Inception-v3 -- Keras -- OpenCV DNN module -- ResNet -- Keras implementation -- OpenCV DNN implementation -- MobileNetV2 -- Keras implementation -- OpenCV DNN implementation -- Comparison of models -- Parameters for blobFromImage() -- Conclusion -- Exercises -- 8. …”
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Deep Learning with Python, Second Edition. by Chollet, Francois

Table of Contents: “…-- 2.4.2 Derivative of a tensor operation: The gradient -- 2.4.3 Stochastic gradient descent -- 2.4.4 Chaining derivatives: The Backpropagation algorithm -- 2.5 Looking back at our first example -- 2.5.1 Reimplementing our first example from scratch in TensorFlow -- 2.5.2 Running one training step -- 2.5.3 The full training loop -- 2.5.4 Evaluating the model -- Summary -- 3 Introduction to Keras and TensorFlow -- 3.1 What's TensorFlow? -- 3.2 What's Keras? …”
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Python for Probability, Statistics, and Machine Learning by Unpingco, José

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Intelligent and Fuzzy Techniques : Proceedings of the INFUS 2020 Conference, Istanbul, Turkey, July 21-23 2020. by Kahraman, Cengiz

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