Deep Learning Masterclass with TensorFlow 2 Over 20 Projects
Coupon Verified on June 11th, 2025
Course Name : Deep Learning Masterclass with TensorFlow 2 Over 20 Projects
Students : 6,724
Duration : 67 hours & 24 articles
Avg Rating : 4.6 (441 ratings)
Original Price : $119.99
Discount Price : $12
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What you’ll learn
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The Basics of Tensors and Variables with Tensorflow
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Basics of Tensorflow and training neural networks with TensorFlow 2.
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Convolutional Neural Networks applied to Malaria Detection
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Building more advanced Tensorflow models with Functional API, Model Subclassing and Custom Layers
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Evaluating Classification Models using different metrics like: Precision,Recall,Accuracy and F1-score
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Classification Model Evaluation with Confusion Matrix and ROC Curve
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Tensorflow Callbacks, Learning Rate Scheduling and Model Check-pointing
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Mitigating Overfitting and Underfitting with Dropout, Regularization, Data augmentation
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Data augmentation with TensorFlow using TensorFlow image and Keras Layers
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Advanced augmentation strategies like Cutmix and Mixup
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Data augmentation with Albumentations with TensorFlow 2 and PyTorch
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Custom Loss and Metrics in TensorFlow 2
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Eager and Graph Modes in TensorFlow 2
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Custom Training Loops in TensorFlow 2
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Integrating Tensorboard with TensorFlow 2 for data logging, viewing model graphs, hyperparameter tuning and profiling
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Machine Learning Operations (MLOps) with Weights and Biases
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Experiment tracking with Wandb
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Hyperparameter tuning with Wandb
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Dataset versioning with Wandb
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Model versioning with Wandb
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Human emotions detection
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Modern convolutional neural networks(Alexnet, Vggnet, Resnet, Mobilenet, EfficientNet)
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Transfer learning
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Visualizing convnet intermediate layers
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Grad-cam method
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Model ensembling and class imbalance
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Transformers in Vision
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Model deployment
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Conversion from tensorflow to Onnx Model
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Quantization Aware training
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Building API with Fastapi
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Deploying API to the Cloud
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Object detection from scratch with YOLO
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Image Segmentation from scratch with UNET model
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People Counting from scratch with Csrnet
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Digit generation with Variational autoencoders (VAE)
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Face generation with Generative adversarial neural networks (GAN)
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Sentiment Analysis with Recurrent neural networks, Attention Models and Transformers from scratch
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Neural Machine Translation with Recurrent neural networks, Attention Models and Transformers from scratch
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Intent Classification with Deberta in Huggingface transformers
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Neural Machine Translation with T5 in Huggingface transformers
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Extractive Question Answering with Longformer in Huggingface transformers
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E-commerce search engine with Sentence transformers
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Lyrics Generator with GPT2 in Huggingface transformers
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Grammatical Error Correction with T5 in Huggingface transformers
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Elon Musk Bot with BlenderBot in Huggingface transformers
Deal Score0
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