Description
Deep Learning course: Image Classification with Tensorflow in 2023. Image classification models are used today in various places such as farms, hospitals, industries, schools, highways, etc. With the creation of much more efficient deep learning models since the early 2010s, we have seen great progress in the state of the art in the field of image classification. In this course, we will take you on an amazing journey where you will master various concepts in a step-by-step approach. We’ll start by understanding how image classification algorithms work and deploying them in the cloud while following best practices. We are going to use Tensorflow 2 (world’s most popular library for deep learning, made by Google) and Huggingface. This course is provided to you by Neurallearn. And just like any other Neurallearn course, we put a lot of emphasis on feedback. Your comments and questions in the forum will help us improve this course. Ask as many questions as possible in the forum. We will do our best to respond as soon as possible.
What you will learn in the course Deep Learning: Image Classification with Tensorflow in 2023
- Basics of Tensorflow (tensors, model construction, training and evaluation)
- Deep learning algorithms such as Convolutional Neural Networks and Vision Transformers
- Evaluation of classification models (accuracy, recall, precision, F1 score, confusion matrix, ROC curve)
- Overfitting decreases with increasing data
- Advanced Tensorflow concepts such as custom losses and metrics, eager modes, and custom graphs and training loops, Tensorboard
- Machine Learning Operations (MLOps) with weights and biases (experiment tracking, hyperparameter tuning, dataset versioning, model versioning)
- Binary classification with malaria diagnosis
- Multi-class classification with human emotion recognition
- Learning transfer with modern convnets (Vggnet, Resnet, Mobilenet, Efficientnet)
- Model deployment (Onnx format, Quantization, Fastapi, Heroku Cloud)
This course is suitable for people who
- Beginner Python developers are curious about using deep learning for computer vision
- Deep learning for computer vision professionals who want to master how things work under the hood
- Anyone who wants to master the fundamentals of deep learning and also practice deep learning for image classification using best practices in TensorFlow.
- Computer vision professionals who want to learn how to build and train artistic image classification models using deep learning.
- Anyone who wants to deploy image classification models
- Learners who want a hands-on approach to deep learning for image classification
Course details
- Publisher: Yudmi
- teacher: Neurallearn Dot AI
- Training level: beginner to advanced
- Training duration: 32 hours and 28 minutes
- Number of courses: 86
Headlines of Deep Learning course: Image Classification with Tensorflow in 2023 on 6/2023
Prerequisites of the Deep Learning course: Image Classification with Tensorflow in 2023
- Basic Knowledge of Python
- Access to an internet connection, as we shall be using Google Colab (free version)
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
Volume
14.6 GB
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