All about Transfer Learning | Image Classification | TF 2.0
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All about Transfer Learning | Image Classification | TF 2.0
9:22
Improve validation accuracy
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Improve validation accuracy
5:46
COVID-19 | Screening test metrics
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COVID-19 | Screening test metrics
12:56
Loss functions for regression tasks | MAE | MSE |
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Loss functions for regression tasks | MAE | MSE |
7:41
Lecture 14: Understanding AlexNet architecture
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Lecture 14: Understanding AlexNet architecture
8:27
TFLite model conversion in Under 3 minutes
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TFLite model conversion in Under 3 minutes
2:25
Lecture 13: Global Average Pooling (GAP)
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Lecture 13: Global Average Pooling (GAP)
3:35
How to freeze a TensorFlow Model
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How to freeze a TensorFlow Model
6:43
Lecture 12: The power of 1 x 1 convolution
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Lecture 12: The power of 1 x 1 convolution
9:46
How Apple can Fix FACE ID
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How Apple can Fix FACE ID
8:20
Image classification in Android-TensorFlow using CIFAR-10 dataset
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Image classification in Android-TensorFlow using CIFAR-10 dataset
13:19
Hello World TensorFlow-Android
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Hello World TensorFlow-Android
27:10
Lecture 11: Fractionally strided layer a.k.a Deconvolutional layer
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Lecture 11: Fractionally strided layer a.k.a Deconvolutional layer
19:34
Important tips to use TensorFlow Framework
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Important tips to use TensorFlow Framework
6:15
Lecture 10: Convolutional Nerual Networks Part2 : Activation and Pooling layers
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Lecture 10: Convolutional Nerual Networks Part2 : Activation and Pooling layers
17:18
Advanced Self Driving car (simulation)
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Advanced Self Driving car (simulation)
2:30
Lecture 9: Convolutional Nerual Networks Part1
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Lecture 9: Convolutional Nerual Networks Part1
13:51
Image Classification in TensorFlow : Cats and Dogs dataset
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Image Classification in TensorFlow : Cats and Dogs dataset
25:00
MNIST in TensorFLow In-depth analysis
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MNIST in TensorFLow In-depth analysis
35:52
Lecture 8:Basics of Neural Networks
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Lecture 8:Basics of Neural Networks
24:27
Classification of IRIS dataset in TensorFlow
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Classification of IRIS dataset in TensorFlow
15:07
Lecture 7: Polynomial regression in TensorFlow
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Lecture 7: Polynomial regression in TensorFlow
12:55
Lecture 6: Linear Regression in TensorFlow and TensorBoard
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Lecture 6: Linear Regression in TensorFlow and TensorBoard
25:42
lecture 5: Structure of a machine learning algorithm
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lecture 5: Structure of a machine learning algorithm
5:14
Lecture 4: Basics of TensorFlow
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Lecture 4: Basics of TensorFlow
13:37
Lecture 3: Quick Introduction to Python
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Lecture 3: Quick Introduction to Python
19:21
Lecture 2: Setting Up IDE and VM
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Lecture 2: Setting Up IDE and VM
8:54
Lecture1: Introduction
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Lecture1: Introduction
4:35