Deep Learning for Computer Vision with Python and TensorFlow – Complete Course

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Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow. Author: Folefac Martins from Neuralearn.ai More Courses: www.neuralearn.ai Link to Code: https://colab.research.google.com/drive/18u1KDx-9683iZNPxSDZ6dOv9319ZuEC_ YouTube Channel: https://www.youtube.com/@neuralearn ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ Introduction ⌨️ (0:00:00) Welcome ⌨️ (0:05:54) Prerequisite ⌨️ (0:06:11) What we shall Learn Tensors and Variables ⌨️ (0:12:12) Basics ⌨️ (0:19:26) Initialization and Casting ⌨️ (1:07:31) Indexing ⌨️ (1:16:15) Maths Operations ⌨️ (1:55:02) Linear Algebra Operations ⌨️ (2:56:21) Common TensorFlow Functions ⌨️ (3:50:15) Ragged Tensors ⌨️ (4:01:41) Sparse Tensors ⌨️ (4:04:23) String Tensors ⌨️ (4:07:45) Variables Building Neural Networks with TensorFlow [Car Price Prediction] ⌨️ (4:14:52) Task Understanding ⌨️ (4:19:47) Data Preparation ⌨️ (4:54:47) Linear Regression Model ⌨️ (5:10:18) Error Sanctioning ⌨️ (5:24:53) Training and Optimization ⌨️ (5:41:22) Performance Measurement ⌨️ (5:44:18) Validation and Testing ⌨️ (6:04:30) Corrective Measures Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis] ⌨️ (6:28:50) Task Understanding ⌨️ (6:37:40) Data Preparation ⌨️ (6:57:40) Data Visualization ⌨️ (7:00:20) Data Processing ⌨️ (7:08:50) How and Why ConvNets Work ⌨️

Published 2023-06-06 · Watch on YouTube ↗
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