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Deep Learning Image Classification with Tensorflow in 2023
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Name:Deep Learning Image Classification with Tensorflow in 2023
Infohash: 5B468C5FA33779E32DDA3A2CAE9495D016AA5604
Total Size: 15.01 GB
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Last Updated: 2025-12-05 05:04:14 (Update Now)
Torrent added: 2023-03-01 14:30:20
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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023 (Size: 15.01 GB) (Files: 173)
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023
18 - Deploying the Image classification model
84 - Building API with Fastapi.mp4
79 - Understanding quantization.mp4
78 - Conversion from tensorflow to Onnx Model.mp4
81 - Quantization Aware training.mp4
82 - Conversion to tensorflowlite model.mp4
83 - How APIs work.mp4
86 - Load testing API.mp4
85 - Deploying API to the Cloud.mp4
80 - Practical quantization of Onnx Model.mp4
8 - Data Augmentation
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4
11 - MLOps with Weights and Biases
52 - Experiment Tracking.mp4
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4
53 - Hyperparameter Tuning with Weights and Biases and TensorFlow 2.mp4
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4
17 - Transformers in Vision
72 - Understanding VITs.mp4
73 - Building VITs from scratch.mp4
74 - Finetuning Huggingface VITs.mp4
77 - Swin Transformers.mp4
75 - Model Evaluation with Wandb.mp4
76 - Data efficient Transformers.mp4
2 - Tensors and variables
4 - Initialization and Casting.mp4
7 - Linear Algebra Operations.mp4
8 - Common Methods.mp4
6 - Maths Operations.mp4
9 - RaggedTensors.mp4
5 - Indexing.mp4
12 - Variables.mp4
3 - Basics.mp4
11 - String Tensors.mp4
10 - Sparse Tensors.mp4
12 - Human Emotions Detection
57 - Modeling and Training.mp4
59 - Tensorflow records.mp4
56 - data preparation.mp4
58 - Data augmentation.mp4
13 - Modern Convolutional Neural Networks
62 - resnet.mp4
64 - mobilenet.mp4
65 - efficientnet.mp4
60 - Alexnet.mp4
63 - coding resnet.mp4
61 - vggnet.mp4
4 - Building convnets with tensorflow
25 - How and Why Convolutional Neural Networks Work.mp4
22 - Data Preparation.mp4
30 - Loading and Saving tensorflow models to gdrive.mp4
28 - Training.mp4
21 - Understanding the Task.mp4
24 - Data Processing.mp4
27 - Binary Crossentropy Loss.mp4
26 - Building ConvNets with TensorFlow.mp4
29 - Model Evaluation and Testing.mp4
23 - Data Visualization.mp4
10 - Tensorboard integration with TensorFlow 2
48 - Log data.mp4
50 - hyperparameter tuning.mp4
51 - Profiling and other visualizations with Tensorboard.mp4
49 - view model graphs.mp4
3 - PREREQUISCITE Building neural networks with Tensorflow
14 - Data Preparation.mp4
20 - Corrective Measures.mp4
19 - Validation and Testing.mp4
17 - Training and Optimization.mp4
15 - Linear Regression Model.mp4
16 - Error Sanctioning.mp4
13 - Understanding the Task.mp4
18 - Performance Measurement.mp4
9 - Advanced Tensorflow
47 - Custom Training Loops in TensorFlow 2.mp4
45 - Custom Loss and Metrics in TensorFlow 2.mp4
46 - Eager and Graph Modes in TensorFlow 2.mp4
15 - Understanding the blackbox
69 - gradcam method.mp4
68 - visualizing intermediate layers.mp4
7 - Improving Model Performance
37 - Callbacks with TensorFlow.mp4
40 - Mitigating Overfitting and Underfitting with Dropout Regularization.mp4
38 - Learning Rate Scheduling.mp4
39 - Model Checkpointing.mp4
6 - Evaluating Classification Models
34 - PrecisionRecallAccuracy.mp4
35 - Confusion Matrix.mp4
36 - ROC curve.mp4
1 - Introduction
2 - General Introduction.mp4
1 - Welcome.mp4
14 - Transfer learning
66 - Pretrained Models.mp4
67 - Finetuning.mp4
5 - Building more advanced TensorFlow Models with Functional API Subclassing and Cu
31 - Functional API.mp4
33 - Custom Layers.mp4
32 - Model Subclassing.mp4
16 - Class Imbalance and Ensembling
71 - Class imbalance.mp4
70 - Ensembling.mp4
TutsNode.net.txt
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