Deep Learning with TensorFlow – Course Reflection
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Frank
- May 9, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
Here’s the final video on DeepLizard’s Deep Learning with TensorFlow course.
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Deep Learning Models Using Keras Tutorial
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Frank
- April 20, 2022
- cnn tutorial
- convolutional neural network tutorial
- deep learning training
- deep learning tutorial
- edureka
- keras example
- keras explained
- keras install
- keras layers tutorial
- keras model tutorial
- keras neural network tutorial
- keras python
- keras tensorflow tutorial
- keras tutorial
- keras tutorial cnn
- keras tutorial deep learning
- keras tutorial for beginners
- keras tutorial image classification
- keras tutorial python
- keras tutorial tensorflow
This Edureka Tutorial on “Keras Tutorial” provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case. Topics Covered : 00:00 Introduction 00:30 Agenda 01:12 What is Keras 01:53 Who Makes Keras 02:55 What Makes Keras Special 04:08 Keras User Experience 05:04 Multi-Backend & Multi-Platform 06:55 Keras Models 09:03 […]
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Deep Learning Dictionary – Course Introduction
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Frank
- January 31, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
This is a lightweight crash course containing bite-sized, practical and intuitive explanations for the most common terms and concepts in the field of deep learning. I’ve always admired the work that the Deep Lizard team has been doing.
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PyTorch and Monai for AI Healthcare Imaging – Python Machine Learning Course
Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation. Code: https://github.com/amine0110/Liver-Segmentation-Using-Monai-and-PyTorch Course Contents: (0:00:00) Introduction (0:02:11) What is U-Net (0:13:21) Software Installation (0:22:35) […]
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The Theoretical Aspects of Gradient Methods in Deep Learning
In this talk from Microsoft Research Asia, Jian Li of Tsinghua University explains Theoretical Aspects of Gradient Methods in Deep Learning by
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What is Deep Learning? | Deep Learning Tutorial For Beginners | Edureka | Deep Learning Rewind – 2
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Frank
- December 6, 2021
- Deep Learning
- deep learning algorithms
- deep learning applications
- deep learning for natural language processing
- deep learning neural networks
- deep learning simplified
- deep learning tensorflow
- deep learning tutorial
- deep learning tutorial for beginners
- deep learning tutorial python
- deep learning vs machine learning
- deep learning with python
- edureka
- what is deep learning
- what is deep learning algorithms
This Edureka “What is Deep Learning” video will help you to understand the relationship between Deep Learning, Machine Learning and Artificial Intelligence. It will also explain what is Deep learning and how Deep Learning overcame Machine Learning limitations and different real-life applications of Deep Learning.
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Cancer Detection Using Deep Learning | Deep Learning Projects
This Edureka video on 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, will help you understand how to develop models using Convolution Neural Networks. We will also have a discussion on improving model accuracy using pretrained models.
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Building Deep Learning Models for Digital Pathology Image Analysis
Keen Eye is an AI Platform company building deep learning models to guide better drug development and diagnostics. They support the pathologists to deliver accurate, standardized and undiscovered tissue insights in research and clinical studies. Keen Eye has migrated from an on-premise infrastructure to full AWS Cloud service leveraging EKS, S3, SageMaker and more.
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Deep Learning Models Using Keras For Beginners
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Frank
- September 18, 2021
- cnn tutorial
- convolutional neural network tutorial
- deep learning training
- deep learning tutorial
- edureka
- keras example
- keras explained
- keras install
- keras layers tutorial
- keras model tutorial
- keras neural network tutorial
- keras python
- keras tensorflow tutorial
- keras tutorial
- keras tutorial cnn
- keras tutorial deep learning
- keras tutorial for beginners
- keras tutorial image classification
- keras tutorial python
- keras tutorial tensorflow
This Edureka Tutorial on “Keras Tutorial” provides a quick and insightful tutorial on the working of Keras along with an interesting use-case.
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Deep Learning Plans in ML.NET
In this video, Jon Wood outlines and explains the plans for ML.NET.
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