1. BeFunky 2. Batch Image Resizing Made Easy (B.I.R.M.E.) 3. Resize Image Online (rsizr) 4. Social Image Resizer Tool 5. Resize Now! 6. Simple Image Resizer 7. Photo Resizer 8. I Love IMG 9. OnlineImageResize.com 10. ImageOptimizer.net ...
Squoosh is by far the best free image optimizer on the internet, and was created by the Google Chrome team. The default file Squoosh uses is MozJPEG, which reduces image file sizes by 50-80% with no noticeable loss in quality. However, you can also select other lightweight image types li...
optimizer: adam learning_rate: 5e-05 reflect_padding: False allow_growth: False mixed_precision: False convert_batchsize: 16 [global.loss] loss_function: ssim mask_loss_function: mse l2_reg_term: 100 eye_multiplier: 3 mouth_multiplier: 2 penalized_mask_loss: True mask_type: extended mask_...
(inputs,targets)inenumerate(trainloader):inputs,targets=inputs.to(device),targets.to(device)optimizer.zero_grad()outputs=net(inputs)loss=criterion(outputs,targets)loss.backward()optimizer.step()train_loss+=loss.item()predicted=torch.argmax(outputs,1)total+=targets.shape[0]correct+=predicted.eq...
self.optimizer.step() return loss 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 7.策略梯度智能体 我们默认从文件中加载参数进行训练,因为PG算法+Pong环境的训练需要大量的时间,一次直接训练完成很耗时;当然我们支持从0开始训练 ...
# And finally the loss loss = tf.reduce_mean(cross_entropy) # Create a gradient-descent optimizer that minimizes the loss. # We choose a learning rate of 0.05 optimizer = tf.train.GradientDescentOptimizer(0.05).minimize(loss) # Find the indices where the predictions were correct ...
(0.2)) model.add(Dense(10, activation='softmax')) opt = tf.keras.optimizers.Adam(lr=0.001, decay=1e-6) # Compile model model.compile( loss='sparse_categorical_crossentropy', optimizer=opt, metrics=['accuracy'], ) model.fit(x_train, y_train, epochs=3, validation_data=(x_test, y...
101 # loss_weights define the ratio of how much I care about optimizing each one 102 --> 103 model.load_weights("./weights/1pred_weights.25--0.08.hdf5", by_name=True) # the by_name=True allows you to use a different architecture and bring in the weights from the matching layers ...
I'm going to post this in Gatsby as well but wanted to add it here for anyone searching in Google and at a loss like me. Repository owner locked and limited conversation to collaboratorsSep 24, 2019 Sign up for freeto subscribe to this conversation on GitHub. Already have an account?Sign...
emotion_model.compile(loss='categorical_crossentropy',optimizer=Adam(lr=0.0001, decay=1e-6),metrics=['accuracy']) emotion_model_info = emotion_model.fit_generator( train_generator, steps_per_epoch = 28709 // 64, epochs=75, validation_data = val_generator, ...