Master TensorFlow Library Completely on (2026) + UPDATES

5.6 GB | 9min 56s | mp4 | 2560X1440 | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :1 Course Overview & Who Should Take This Course.mp4 | Size: (61.15 MB)
FileName :2 What is TensorFlow – Understanding Its Role in the Deep Learning Ecosystem.mp4 | Size: (78.09 MB)
FileName :3 TensorFlow vs PyTorch – When to Use Which.mp4 | Size: (92.46 MB)
FileName :4 How to Get Help & Course Resources.mp4 | Size: (83.2 MB)
FileName :5 Setting Up Your Python Environment with Anaconda.mp4 | Size: (65.73 MB)
FileName :6 Installing TensorFlow – CPU vs GPU Versions.mp4 | Size: (73.64 MB)
FileName :7 Installing Dependencies – NumPy, Matplotlib, Jupyter.mp4 | Size: (84.31 MB)
FileName :8 Verifying GPU Support with CUDA and cuDNN.mp4 | Size: (91.55 MB)
FileName :9 Your First Jupyter Notebook with TensorFlow.mp4 | Size: (92.91 MB)
FileName :10 The Tensor – TensorFlow's Fundamental Data Structure.mp4 | Size: (73.57 MB)
FileName :11 Tensor Operations – Creating, Reshaping, Indexing, Slicing.mp4 | Size: (76.9 MB)
FileName :12 Tensor Data Types and Device Management (CPU vs GPU).mp4 | Size: (92.16 MB)
FileName :13 Automatic Differentiation – The GradientTape API.mp4 | Size: (89.05 MB)
FileName :14 Eager Execution vs Graph Execution – Understanding the Difference.mp4 | Size: (94.97 MB)
FileName :15 The Keras API – Building Blocks of Neural Networks.mp4 | Size: (86.06 MB)
FileName :16 The Training Loop – Forward Pass, Loss, GradientTape, Optimizer.mp4 | Size: (80.6 MB)
FileName :17 Class tf Tensor – The Core Data Structure.mp4 | Size: (95.57 MB)
FileName :18 Class tf keras layers Dense – Fully Connected Layers.mp4 | Size: (86.69 MB)
FileName :19 Class tf keras layers Conv2D – Convolutional Layers.mp4 | Size: (94.52 MB)
FileName :20 Class tf keras layers LSTM, GRU – Recurrent Layers.mp4 | Size: (96.13 MB)
FileName :21 Class tf keras Model – Creating Custom Models.mp4 | Size: (78.63 MB)
FileName :22 Class tf keras optimizers Optimizer – SGD, Adam, RMSprop.mp4 | Size: (87.93 MB)
FileName :23 Class tf data Dataset – Efficient Data Pipelines.mp4 | Size: (93.84 MB)
FileName :24 Class tf keras callbacks Callback – Monitoring and Customization.mp4 | Size: (93.86 MB)
FileName :25 Method model compile() – Configuring the Model for Training.mp4 | Size: (115.78 MB)
FileName :26 Method model fit() – Training the Model.mp4 | Size: (95.28 MB)
FileName :27 Method model predict() – Making Predictions.mp4 | Size: (97.69 MB)
FileName :28 Method model evaluate() – Evaluating Performance.mp4 | Size: (115.89 MB)
FileName :29 Method numpy() and item() – Extracting Values from Tensors.mp4 | Size: (96.2 MB)
FileName :30 Method tf function() – Converting to Graph Execution.mp4 | Size: (88.45 MB)
FileName :31 Submodule tf keras layers – All Layer Types.mp4 | Size: (89.71 MB)
FileName :32 Submodule tf keras activations – Activation Functions.mp4 | Size: (93.61 MB)
FileName :33 Submodule tf keras initializers – Weight Initialization.mp4 | Size: (111.91 MB)
FileName :34 Submodule tf keras regularizers – L1, L2 Regularization.mp4 | Size: (110 MB)
FileName :35 Submodule tf keras callbacks – EarlyStopping, ModelCheckpoint, TensorBoard.mp4 | Size: (126.03 MB)
FileName :36 Submodule tf keras applications – Pretrained Models for Transfer Learning.mp4 | Size: (139.55 MB)
FileName :37 Device Agnostic Code – Writing Code That Works on CPU and GPU.mp4 | Size: (112.01 MB)
FileName :38 Reproducibility – Setting Seeds for Deterministic Results.mp4 | Size: (114.3 MB)
FileName :39 Model Persistence – Saving and Loading Models with h5 and keras.mp4 | Size: (93.45 MB)
FileName :40 Debugging – Using tf debugging, tf print, and TensorBoard.mp4 | Size: (95.08 MB)
FileName :41 Runtime Errors – Shape Mismatches and Dimension Errors.mp4 | Size: (100.43 MB)
FileName :42 CUDA Errors – Out of Memory, Device Not Available.mp4 | Size: (97.59 MB)
FileName :43 Gradient Errors – NaN, Exploding Vanishing Gradients.mp4 | Size: (113.98 MB)
FileName :44 Overfitting and Underfitting – Detection and Prevention.mp4 | Size: (100.14 MB)
FileName :45 Project 1 Linear Regression – Predicting Housing Prices.mp4 | Size: (85.38 MB)
FileName :46 Project 2 Logistic Regression – Binary Classification.mp4 | Size: (92.17 MB)
FileName :47 Project 3 Neural Network on MNIST – Digit Classification.mp4 | Size: (87.46 MB)
FileName :48 Project 4 CNN on CIFAR-10 – Image Classification.mp4 | Size: (102.6 MB)
FileName :49 Project 5 Transfer Learning with MobileNet – Fine-Tuning a Pretrained Model.mp4 | Size: (93.02 MB)
FileName :50 Project 6 RNN for Sentiment Analysis – Text Classification.mp4 | Size: (79.27 MB)
FileName :51 Project 7 Autoencoder for Dimensionality Reduction – Unsupervised Learning.mp4 | Size: (107.03 MB)
FileName :52 Real Project 1 Image Classifier with Data Augmentation and Transfer Learning.mp4 | Size: (119.84 MB)
FileName :53 Real Project 2 Time-Series Forecasting with LSTMs.mp4 | Size: (128.36 MB)
FileName :54 Real Project 3 Generative Adversarial Network (GAN) – Generating Synthetic Imag.mp4 | Size: (105.08 MB)
FileName :55 Top 10 Core Theory Questions – Deep Learning Fundamentals.mp4 | Size: (90.77 MB)
FileName :56 Top 10 Coding Questions – TensorFlow Implementation.mp4 | Size: (102.89 MB)
FileName :57 Explain Your Project – How to Present a TensorFlow Project in an Interview.mp4 | Size: (116.48 MB)
FileName :58 Mock Interview – Simulated Questions and Answers.mp4 | Size: (74.15 MB)
FileName :59 Final Challenge – Comprehensive End-to-End TensorFlow Project.mp4 | Size: (112.7 MB)
FileName :60 Final Challenge Solution Walkthrough.mp4 | Size: (88.4 MB)]
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